epoch 0
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0698858903164)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0296546923368)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (-0.197628394653)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.49760654516)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.334645696318)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.639760168764)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
0	0.561764837667	1	0
epoch 1
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.756085401455)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.805292722192)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.222391883429)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.138231365965)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0772459513053)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.514990581994)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
1	0.282411395903		0
epoch 2
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.686700011203)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.320304467734)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.729393801437)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.254767569485)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.500932450296)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.072555442507)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
2	0.23840187374	1	0
epoch 3
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.664289075431)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.124502136905)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.730772527174)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.134116176974)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.763873617994)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.79953516158)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
3	0.251767320969		0
epoch 4
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.831005599798)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.853093013661)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.106265906729)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.866332840559)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.876462007469)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.887872675836)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
4	0.141599156371	1	0
epoch 5
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.897237730294)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.317562199976)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.436171704667)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.880609206761)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.896030795987)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.279272849754)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
5	0.320227186887		0
epoch 6
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.528392126898)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.845954871495)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.870224095436)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.883006550605)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.361830189198)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.777767898069)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
6	0.130005565222	1	0
epoch 7
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0394698547908)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.019010104884)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.822840144658)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.844055141)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.112555480276)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0419765009763)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
7	0.144908871221		0
epoch 8
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.846337670613)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.861582665748)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.876060254887)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.887592310107)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.157276865312)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.33017361065)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
8	0.366563460528	1	0
epoch 9
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.859065199364)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.878075626633)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0785777645687)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.8839744152)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.200259591915)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.800299720629)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
9	0.118450168274		0
epoch 10
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.832867111372)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.854474360841)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.870602964255)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.883219004088)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.893409499977)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.806966313081)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
10	0.12798858241	1	0
epoch 11
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.821774996952)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0121010454276)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.847036394799)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.041615425588)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.860329299029)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0532398147587)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
11	0.13137861514		0
epoch 12
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.227447588978)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0685997442929)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.867203472153)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0538077745982)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0173209012985)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0115711908369)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
12	0.0917472173757	1	0
epoch 13
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00624649035714)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.869598264836)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0398251470414)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0114804395973)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.877003021839)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0423119301945)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
13	0.0821265479038		0
epoch 14
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.884572922295)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0472579719679)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.890061778632)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.897386148591)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.905163747225)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.911786529983)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
14	0.0975715027654	1	0
epoch 15
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.110601568458)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.911241456185)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.915018105528)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.920285621218)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.924917218968)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.126931731856)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
15	0.139064236185		0
epoch 16
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.922640022589)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.92512713018)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0977860998651)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.335859076079)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.924141412355)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.107791671833)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
16	0.114066302441	1	0
epoch 17
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.925989774365)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.928397371928)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.932104114285)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.935437143426)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.113592409201)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.933458994968)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
17	0.124119692019		0
epoch 18
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.9352205668)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.260768112025)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.93910520763)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.115043332173)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0151409617248)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.896408034546)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
18	0.0684745830432	1	0
epoch 19
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.903757705079)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.910579432879)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.916446101898)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.921548007098)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.926030327251)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.930002928066)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
19	0.0946489336829		0
epoch 20
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.933550620432)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.936740020953)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.14307089592)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.933365591267)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.934851776029)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.101785018329)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
20	0.0995383596122	1	0
epoch 21
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0412746223622)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.220304320929)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.93044176011)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.935714485422)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.938704689148)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.101612891086)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
21	0.0531762305799		0
epoch 22
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0413528243395)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0254729109784)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.932552641907)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.176137410953)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.935993265219)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0702319907685)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
22	0.0483395533065	1	0
epoch 23
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.937386386791)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0485939779552)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.937345999937)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.939436489793)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.94207146104)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.944481085784)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
23	0.0644557021854		0
epoch 24
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.946690723791)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.948724837857)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0954718413491)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.947210713879)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.948248078657)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.163507004007)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
24	0.394186983475	1	0
epoch 25
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.950648844747)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.953388112594)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.954939622351)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.956384559761)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.957736922267)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.959005507417)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
25	0.402006973659		0
epoch 26
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.960198007243)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.154435879086)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.066692431964)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.953581180012)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0568846552097)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.95269178683)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
26	0.0874758991822	1	0
epoch 27
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.953719959032)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0479512548906)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.95377536419)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.954809026502)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.956260747719)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0518650218873)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
27	0.100617287861		0
epoch 28
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0203188057163)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.239115337087)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.955317892844)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.958105981165)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0652161316245)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0261387654693)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
28	0.075736289638	1	0
epoch 29
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.167732994066)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0541087603506)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.955650474882)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.917245966839)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.916411093515)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.142691907627)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
29	0.0680999234023		0
epoch 30
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0656589448589)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.934281026749)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0278016159058)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.939269043219)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.941907987919)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0108663394905)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
30	0.0395544447816	1	0
epoch 31
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.944114625224)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0170848730534)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00513844737226)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.945217444654)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0174215850421)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.946632854907)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
31	0.039134859587		0
epoch 32
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.948327977368)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0305402779305)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.949283499939)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.950703939998)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0360140413436)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0133842190424)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
32	0.0354733920964	1	0
epoch 33
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.950558515395)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0216450582739)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0073108787031)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00480168268477)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00260164100762)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00147682999092)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
33	0.0349662049332		0
epoch 34
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.000828401220413)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.950515487948)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.012619899556)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.951801467273)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0162710233006)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00509672979086)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
34	0.0336797003067	1	0
epoch 35
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00344207114891)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.952334847436)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.95376862438)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.955290204437)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.956712378457)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.958044179791)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
35	0.0455096130755		0
epoch 36
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.959294114666)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0581418336617)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0231407459511)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0143650999242)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.957138938035)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.958220798219)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
36	0.0348190919762	1	0
epoch 37
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.959459355254)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0362192869647)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0138067842383)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00869477919365)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.958660733048)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.95969849811)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
37	0.0331218732764		0
epoch 38
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0236586269892)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.960266368559)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.961130803194)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.962200488462)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.963212053149)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0430355686064)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
38	0.0781552841386	1	0
epoch 39
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.963097229835)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0291172484251)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.963020640757)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.963727062088)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.964656842382)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0366610200974)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
39	0.0862818218342		0
epoch 40
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.964671594736)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.965267084342)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.966118561434)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.966929021614)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.967700726828)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.968436430593)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
40	0.0870639085099	1	0
epoch 41
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.969138630565)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.969809596258)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0712318484815)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.968906728228)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.969178467745)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.969846744523)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
41	0.0950755592547		0
epoch 42
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0544917760265)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0219704113588)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.968549907407)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0228157850266)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00848523115406)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.968294230439)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
42	0.107795106472	1	0
epoch 43
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.25778406118)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0655036833499)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.968920180371)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0210591198823)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00775869573149)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00490292615425)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
43	0.0224346514067		0
epoch 44
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00272057502288)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00529551484985)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.968376170946)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.011854143338)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.968830008675)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0121829889755)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
44	0.0614508141443	1	0
epoch 45
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.969176389564)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0123589333843)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00410750125176)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00271377082422)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00146839550058)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.000833828875821)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
45	0.0849621673496		0
epoch 46
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000467680009996)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00026313195524)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.969173362541)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.969775485661)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0135819057027)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00464374454655)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
46	0.0872562388613	1	0
epoch 47
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.970010862336)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.970560034835)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.016449033837)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00587848656895)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.97066748921)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.971186548985)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
47	0.0889037274985		0
epoch 48
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.971770376828)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.972330725827)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.208540772023)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.973133253021)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.974410341263)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.952593877318)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
48	0.0935734504156	1	0
epoch 49
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.122878345647)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.955248890188)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.957348154048)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0451000949784)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.020550905551)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.961007175859)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
49	0.0269878758607		0
epoch 50
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00450528265261)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00328163131712)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00173873097496)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00099279916241)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.962554735823)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00834941489071)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
50	0.0259806719752	1	0
epoch 51
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00217615540836)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00158189999293)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.96315845728)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.964014780668)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.964930104965)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.024209016845)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
51	0.0253646451407		0
epoch 52
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00893823036261)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.005690234255)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0031050579866)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.964581908739)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.965363945244)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.966211094527)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
52	0.0289831021402	1	0
epoch 53
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0243344925017)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00903878849385)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.966134553771)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.966817074202)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0212596249835)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00776553613798)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
53	0.0237025745841		0
epoch 54
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.966848778357)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.967507980571)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.968252311059)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.968962820272)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0327079450962)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0126757913452)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
54	0.0229707423197	1	0
epoch 55
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00793936396139)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00434886290514)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00246170165031)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.96802472457)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.968662255352)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0155115522107)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
55	0.022207721926		0
epoch 56
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00541430998991)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.968862215243)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0113489742958)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.969257853914)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.969803944535)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.017966058433)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
56	0.021628991703	1	0
epoch 57
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.970108222866)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0150169959912)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.970321098475)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0134991908883)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.970574957835)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0126846062581)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
57	0.0208376192752		0
epoch 58
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.970845948333)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.97132772858)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0179847115919)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00655281676298)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.971360192349)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.97185115353)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
58	0.0229728657019	1	0
epoch 59
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0171520147985)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.972105564018)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.97252439716)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.973054664983)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.97356471617)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0303995150185)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
59	0.0205279157678		0
epoch 60
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.973506052064)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0205499059377)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00771221078996)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00488274650668)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00266785504441)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.973021272101)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
60	0.0196129941386	1	0
epoch 61
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00809746836348)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.973359165951)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.973775033008)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0146498918688)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0206670884689)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0174302849778)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
61	0.0187766770919		0
epoch 62
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.974058790231)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0131845996241)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00463059140918)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.97406255808)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00948967986284)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.003080261587)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
62	0.0182578315688	1	0
epoch 63
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.974235247138)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00808419082374)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.974534197512)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.974912459383)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0144580445915)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00519960388899)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
63	0.0878925731111		0
epoch 64
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00334035142335)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00181893669825)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.974842709786)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.975235911106)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.975665957493)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0169159760433)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
64	0.0908412988218	1	0
epoch 65
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00626081633205)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.975637096226)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0102157571916)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.975844279813)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.976174662248)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.976572400889)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
65	0.0917791186905		0
epoch 66
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0193738814509)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.976656975317)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.86812023413)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.973049017576)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0640608214468)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.970261663097)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
66	0.397381058803	1	0
epoch 67
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.970527830212)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0442744586806)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.970228142212)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.970586340245)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.97119462036)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.971778300489)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
67	0.346980719911		0
epoch 68
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.947744588603)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.946037899668)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.948107275544)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.950032750018)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.111236007615)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0497416331267)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
68	0.0363637073423	1	0
epoch 69
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0297846957477)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.9593132519)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.960555762471)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.961658768977)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.962699939508)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.014354500118)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
69	0.0261008274598		0
epoch 70
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00470587841521)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.963177392557)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0123280241658)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00387168431375)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.96360055626)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.964423293993)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
70	0.0279160767149	1	0
epoch 71
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.965317662901)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0258845098547)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.965590408566)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.019945595532)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00716658928893)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00460528413576)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
71	0.0245779861301		0
epoch 72
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0025076009856)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00142162077485)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.965191269703)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.965955033557)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0161249958968)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00557214434376)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
72	0.0240204235678	1	0
epoch 73
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.966224508591)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0121355518712)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00390443059481)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.966537112823)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0109044709794)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00339853974228)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
73	0.0234636125083		0
epoch 74
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.966897224731)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.9675767119)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0170145021885)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00600652435002)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00388368482813)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.967629746563)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
74	0.0235480557547	1	0
epoch 75
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.968276355885)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0165349886993)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00583062132859)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00377146161548)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.968331493058)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.968950194395)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
75	0.024322222474		0
epoch 76
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0161480512752)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0056926820904)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00368258562185)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00200212870787)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.968939357462)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.969542418329)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
76	0.0235351901747	1	0
epoch 77
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.014815761657)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00515406363389)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00334982004204)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.96963937879)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.970208742317)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.970833327192)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
77	0.0251373458427		0
epoch 78
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.971431897177)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0268946359086)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0103109768343)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.97114983363)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.971631522781)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0198410107398)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
78	0.0205809536	1	0
epoch 79
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.971836245988)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.015595739266)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00556623085053)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.971794379027)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0107053915733)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.97210543211)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
79	0.020899360053		0
epoch 80
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0109628563273)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0036280324513)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.972255907077)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00925213335546)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.972590847558)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.973027404582)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
80	0.0217006885094	1	0
epoch 81
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.015544103035)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.973277962822)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.973665567317)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.974152318981)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.023591782569)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00901725039249)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
81	0.318421558617		0
epoch 82
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.778622091973)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.174715390915)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.113548149773)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0625014323201)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.967689014272)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0480786025198)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
82	0.0270114945269	1	0
epoch 83
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.966948048175)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0308613142825)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.966713908781)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0222218864804)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.966788899507)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.967376496725)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
83	0.0284081510999		0
epoch 84
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.968126753368)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.968842957617)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.969526986547)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.970180989519)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0492790004894)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.969774895778)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
84	0.0303699785702	1	0
epoch 85
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0308561681751)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.969490676391)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0216315982047)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.706500440667)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.973874717176)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0153444131183)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
85	0.0434454628265		0
epoch 86
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.945098651969)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.947169188275)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.949165905674)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0612938150979)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.948928713199)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.950134091405)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
86	0.049975563853	1	0
epoch 87
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0517897619191)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.950205352605)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0363584534545)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.013510715675)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00858137691896)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00468538115536)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
87	0.0373141368291		0
epoch 88
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0217954622976)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0155132896473)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.949144352382)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0185832535521)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.950184879087)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.582651790457)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
88	0.130891458935	1	0
epoch 89
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.180465918817)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.950217357614)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.950478376001)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.146952040242)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.947036525924)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.947683909169)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
89	0.0778594818887		0
epoch 90
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0979165638156)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.94608749784)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.94716874608)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.949161636978)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.082435329676)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.948131366552)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
90	0.0516514915237	1	0
epoch 91
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0525075065428)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.947405025672)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0373804353794)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.947530468822)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.949007493862)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.950863631081)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
91	0.0489178868175		0
epoch 92
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0503775660217)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.019495487253)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0122142585188)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00669059933995)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00378730207266)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00212593727127)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
92	0.0363662903348	1	0
epoch 93
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00119588167947)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.948521599289)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.950217854699)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0236738072361)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00815252225393)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00531734764879)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
93	0.0350084430176		0
epoch 94
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00288557375115)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.950427813274)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0139784833218)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.951655133302)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0169855469558)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.952620503796)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
94	0.035042593138	1	0
epoch 95
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0182861412954)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.953465649548)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0187546139128)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00620614529592)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.953894753423)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.955214656111)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
95	0.0353936819563		0
epoch 96
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.956641040342)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.957977299995)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.042472172766)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.958048107272)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.958901676874)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.038325418874)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
96	0.213477692071	1	0
epoch 97
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0146780634927)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00922894717186)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.957981785826)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0159390485861)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.95868524471)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.959675978201)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
97	0.21230072365		0
epoch 98
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0246751722496)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.960214706005)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.961075423944)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.514399600579)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.176837790188)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.1107667335)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
98	0.0534934614495	1	0
epoch 99
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.955800922083)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.080763939945)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.953770461473)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.954574830369)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.956041072507)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.957415144078)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
99	0.0620439656634		0
epoch 100
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.958703413177)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0858022048331)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.957413625961)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.958017678073)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.959266996185)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0690734859579)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
100	0.124335408937	1	0
epoch 101
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.958485161188)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00930854744405)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0367595987399)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.957810631193)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.958712493644)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0377965189943)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
101	0.283832975906		0
epoch 102
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0144466990483)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00908952297602)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.957828452838)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.692712738632)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.952105184554)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.95024874843)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
102	0.0663720398683	1	0
epoch 103
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0806642084118)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0325449997082)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0201089947763)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.946293250301)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.947989616481)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.949922520664)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
103	0.0476381516545		0
epoch 104
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.951713419111)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.953376428015)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.954925048038)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0756870723165)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0305539582344)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0188768780373)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
104	0.0350735316134	1	0
epoch 105
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.951495960189)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.952868468272)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0334257032062)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.953461935878)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.026357045295)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.953870023777)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
105	0.0356157442489		0
epoch 106
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.955050065839)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0319646900338)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.955582097979)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.956629852804)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.957965616489)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0426407241142)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
106	0.141953881282	1	0
epoch 107
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.339232387917)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.958249409773)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0722596066676)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.959238097825)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.959850027473)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0529468601864)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
107	0.0322128162812		0
epoch 108
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0209370718983)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.958563772109)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.959529073875)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.960690087602)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.961785282938)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.048729235251)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
108	0.0303926176205	1	0
epoch 109
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.961549808081)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0323297675952)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0122398479431)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.960837123953)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0181244823458)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.961328797776)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
109	0.0293130725074		0
epoch 110
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0169660645942)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00575292249895)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.96153145827)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.962441944202)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.963440063462)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0285403278439)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
110	0.0267536563389	1	0
epoch 111
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.963712039609)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.021680589527)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.963902765456)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.964612689243)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0253844551357)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00942201608047)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
111	0.135791953379		0
epoch 112
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.964535152317)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0152247743898)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00514057594502)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00337685280417)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.96463819355)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.965416210961)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
112	0.137435090541	1	0
epoch 113
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0175667003194)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.965897365494)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0157047240263)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00539320032616)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.966010322254)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.966717193446)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
113	0.142092234475		0
epoch 114
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.96749866279)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.968243707581)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0317651526071)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.356030996699)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.083773891187)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.968109482448)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
114	0.0284371594894	1	0
epoch 115
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0248036367972)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00930689533546)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00589263477222)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.967279746521)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0114866072074)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00367075940183)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
115	0.0229901754037		0
epoch 116
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00246056649962)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0013271075521)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.000754231291815)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.967431735195)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00824125831564)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.96797754066)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
116	0.0234403996945	1	0
epoch 117
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.968588418008)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0169325568252)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.968959703549)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.969490294211)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.970145554056)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0268964950384)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
117	0.0222597664572		0
epoch 118
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.970240430816)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.970678371102)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.971282983236)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0311411794338)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.971256686217)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.9716417076)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
118	0.0274456665349	1	0
epoch 119
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.027093694736)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.971692773017)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0192667902924)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.971731252082)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0153362807871)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00545325473308)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
119	0.0201629380711		0
epoch 120
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.971703038173)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.972186667831)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.972730286846)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.973252814661)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0270622001054)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.010448109351)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
120	0.0196862110619	1	0
epoch 121
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.972941582359)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0137802045328)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.973135012572)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.973534543602)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.974026210945)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.974499812329)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
121	0.0265072342395		0
epoch 122
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.974956144391)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.97539614519)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0378090745581)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.975167709808)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.975411388003)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.975835059814)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
122	0.0291400766292	1	0
epoch 123
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0336743575792)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.975677347723)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.975923653784)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0265583363878)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0103323163724)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.975603434536)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
123	0.149548265839		0
epoch 124
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.363472060439)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.976282140901)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.977788555014)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.978135739242)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.978470338265)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.97879469311)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
124	0.402620224244	1	0
epoch 125
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.979109274371)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.979414521487)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.979710847756)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.979998642264)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0956676250376)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0402641728029)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
125	0.0233705081056		0
epoch 126
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.977871107245)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.978040962411)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.978378214638)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0416191952502)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0167936810734)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0103810736655)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
126	0.0164802582349	1	0
epoch 127
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.977402195592)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.977688027644)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.978036464428)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0206570816392)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00792098052422)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00497908613069)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
127	0.0158471910387		0
epoch 128
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00272496085508)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00154281783091)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.9776562868)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.977966087816)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0106205134071)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.978165087409)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
128	0.0167132497865	1	0
epoch 129
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00966383132287)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00330135760433)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.978217858405)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.978506050907)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.97882925419)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.979142802886)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
129	0.0203598701585		0
epoch 130
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.979447063568)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0242481779275)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.979398843849)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0162422912859)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.979366615963)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0122379077099)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
130	0.0148829629152	1	0
epoch 131
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00442632267101)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.979314341087)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.979569857922)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0120938006509)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00437300224351)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.97960016298)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
131	0.0153116038885		0
epoch 132
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0079253370495)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.979756435089)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00798991720226)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.979896964446)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.980126573498)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.980402536148)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
132	0.0176670565901	1	0
epoch 133
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0158314861196)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.98046554112)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.980657537435)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0156437194395)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0059045977895)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.980584504665)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
133	0.0149137103567		0
epoch 134
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.980804058853)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.981061410302)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.981311919197)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.98155580033)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.981793315459)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0272655414607)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
134	0.0149967941275	1	0
epoch 135
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0108407924017)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.981444777273)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0119285799309)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.370914117748)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.981689614241)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.176319751433)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
135	0.0384560315183		0
epoch 136
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0450895069231)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.971380864828)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0295112886011)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0134214421203)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00799789134494)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.973377540974)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
136	0.0185041287309	1	0
epoch 137
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0012126764563)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.973883582871)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00583649158806)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.97424409508)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.974640491046)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0131542594413)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
137	0.0180572831502		0
epoch 138
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0046414938078)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00300166839653)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00163203548389)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.974629901599)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.975030641838)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0120291504056)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
138	0.0177225489553	1	0
epoch 139
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.975287991852)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0109621809621)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.975468296096)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0103937088291)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.975658577718)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.975993737621)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
139	0.0197239361827		0
epoch 140
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0148658536223)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.976172093251)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.976475678583)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0168982402326)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00628257485178)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.976432238369)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
140	0.0178986566065	1	0
epoch 141
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0100315201995)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0033935712311)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00222777278843)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.976473505689)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00691411579133)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.976732033167)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
141	0.0172108352146		0
epoch 142
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00810403528616)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00259440207433)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00173794331659)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.000937491481671)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.976808734674)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00605502900315)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
142	0.0162550978849	1	0
epoch 143
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.97707748557)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.97738768828)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0121114920456)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.977577109252)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.977852146321)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0149454026785)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
143	0.0160488089144		0
epoch 144
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.977982684798)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0118678863096)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.978075459269)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.978338193569)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.978666458528)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.978984885483)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
144	0.0219073598368	1	0
epoch 145
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.97929380637)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0271599726017)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0107072289345)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00666925418603)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00365782149464)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00206984337488)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
145	0.0151008003178		0
epoch 146
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.978675877953)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.978955854744)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0105089660923)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0036848754653)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0023883132991)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00129788933372)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
146	0.0148865778298	1	0
epoch 147
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.978960075121)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.979235030024)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00989558320704)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00343706886735)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00223517142808)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.979281310712)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
147	0.0151222654215		0
epoch 148
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.979544772663)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.979837279182)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.980121471897)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0182587348381)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.98015362217)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.980345105279)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
148	0.0182258752126	1	0
epoch 149
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0169877808389)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.980392028414)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.980582117421)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.980845449096)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.981101744013)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.981351179777)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
149	0.0233950006303		0
epoch 150
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0274931335001)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.981233319967)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.981374184982)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0211912579114)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00826512816883)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.981164980414)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
150	0.0150299293963	1	0
epoch 151
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.981364010825)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0139181528304)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.981436425238)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.981612901416)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.981848854186)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.982078832453)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
151	0.0196554263464		0
epoch 152
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0214356511219)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.982037105419)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0142925296415)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00538530458888)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.981894961839)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00805597015016)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
152	0.0128770225894	1	0
epoch 153
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.981999315518)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00759826940843)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00257015574752)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.982044014501)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.982239714509)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00959488737955)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
153	0.0127094619665		0
epoch 154
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.982354023904)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00829534137633)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.982435067165)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.982606340465)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.982817353332)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0144727350818)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
154	0.0127278612845	1	0
epoch 155
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.982857339932)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0106360283016)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00387708956684)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00247921178248)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.982764767952)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.982944941296)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
155	0.0134881017624		0
epoch 156
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00893648308913)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.98305369841)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.983210542859)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0111451533769)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.004103571723)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00261505880307)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
156	0.0119497709001	1	0
epoch 157
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.983160781266)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00555341750468)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00175219737956)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0011801869639)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.983225139477)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.004632535226)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
157	0.0118059005645		0
epoch 158
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00136763649683)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.000945004248644)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.983315128433)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00446271582707)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.983450970569)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.98361158243)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
158	0.0130182528798	1	0
epoch 159
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.983798785356)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.983981745304)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0151091302234)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00579750684828)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00364356924785)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.983828797641)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
159	0.130653639963		0
epoch 160
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.983983935232)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.984162682357)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0123094842926)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.984208538859)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0093057252826)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.984241391791)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
160	0.135278429032	1	0
epoch 161
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.984374397867)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.329030673284)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0754102328446)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00839683396941)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00952556428556)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00467319173092)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
161	0.0114058205464		0
epoch 162
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.984101543053)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0067920859637)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00230576804769)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00151177443569)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.984116535779)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.984271328833)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
162	0.0122852478646	1	0
epoch 163
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00773665357781)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00270860307834)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.984318265519)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00561514694886)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.984416912026)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00588664208294)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
163	0.0110428848648		0
epoch 164
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00193649303794)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.984466373228)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.005045913574)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00158506063504)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00106939150434)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00057595001732)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
164	0.0109524053952	1	0
epoch 165
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.984514421415)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.98466370001)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00699604620286)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.984763215026)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.984892294818)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00948865272788)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
165	0.0109141660525		0
epoch 166
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.984959374976)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.985079012488)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.985234014645)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0135706944387)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0051945829435)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0032672968714)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
166	0.0106033300133	1	0
epoch 167
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00178785005946)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00101228285802)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.000568187234211)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.985059322125)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.985198197009)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.985350741494)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
167	0.0123115677119		0
epoch 168
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.985500158246)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.985646526561)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0153248545358)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.98563876585)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.985733578408)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.985875198958)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
168	0.0150778279137	1	0
epoch 169
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.986014055322)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.9861501812)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.986283656821)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0242759966125)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00973814272503)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00603172588952)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
169	0.0102174547169		0
epoch 170
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.985935144261)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.986045957063)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.986181433118)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0125238420319)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.986197348377)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00898570284766)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
170	0.0100269455586	1	0
epoch 171
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00330109032695)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.986155194757)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00557578177232)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00186695246462)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00123017403218)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.000666030371935)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
171	0.00978636434948		0

Success in 172 training rounds!

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