| epoch 0 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.176143606402) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.676352248256) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.531197857554) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.02320758805) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.406105689885) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.618816031283) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.532811264395 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.68408651082) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.732470995188) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.577416834212) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.169023173115) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0846384215764) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.484078388994) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.491665202806 | | 0 |
| epoch 2 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0542165281892) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.098404967509) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0117827728513) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.318859404051) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.597202881739) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.667500735835) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.466850125644 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.526502879757) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0997431483803) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00531061277939) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00928124386245) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.688724465404) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.472044040878) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.320491834729 | | 0 |
| epoch 4 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.182254911527) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0233662311635) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.720997527344) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0409325007983) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00309259084123) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.759006403273) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.248865188654 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.791916356942) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0315414899564) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.513660832332) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.775138567375) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.814520129961) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.830240781456) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.271467036129 | | 0 |
| epoch 6 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.146536383103) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0487088068726) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.845925942255) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.859776603553) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.590730785584) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.208259437741) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.106122398705 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0297634570069) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00819156163051) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.85793551313) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0170654663293) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00143010587192) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00173666870537) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.0942001594319 | | 0 |
| epoch 8 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.866781283535) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0120395898969) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.87496669359) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00808487453589) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00294410682922) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00141224191403) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.0835528021052 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000131659415207) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.881864272458) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.889251721484) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.894774784862) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0207565279438) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00127667237235) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.0717332142407 | | 0 |
| epoch 10 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.898562606431) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.903931853593) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.908055613766) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.911829944746) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.915293064742) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0240746872843) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.277733904219 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.917900918962) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00813391794958) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.672396715774) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.235330465875) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.911272450144) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.918203191894) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.0562617952155 | | 0 |
| epoch 12 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.921148264006) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00703949762215) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.923486208293) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00223570594061) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00229979323458) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000776814721701) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.0522014892437 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-1.79898451061E-5) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (5.74677804381E-5) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (1.6380810724E-5) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-3.38411626805E-7) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.926183991289) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00622792048954) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.0505023695318 | | 0 |
| epoch 14 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.928588108505) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.931139581805) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.933225618131) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0104712460773) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00024488812607) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000773936758581) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.0461450564503 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000220815100119) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (4.50296601337E-6) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.934752001975) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00545620844639) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.936618706471) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00383326700721) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.0436182847366 | | 0 |
| epoch 16 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00134452268116) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000656235266246) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-6.30598524201E-5) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.93831649371) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00515500764134) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.939981041607) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.0412549771715 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.941768998573) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00621599605008) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000518350386862) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.942947346398) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.944606079763) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.9459445371) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.0378579478101 | | 0 |
| epoch 18 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.947218978373) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0113274872535) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00102722482946) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.948123396641) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.949478028646) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.737326685886) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.474126123897 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.889080238661) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.190534006111) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.928196270685) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.932780065142) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.934754673008) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.936624795805) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.26272807455 | | 0 |
| epoch 20 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.634545207978) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.225398306337) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.930948268931) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.935564894549) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0102341219382) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00504582137849) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.0443924277413 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000493407397063) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.937271837049) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00552328256644) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000878652908208) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.938947772765) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.940855491364) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.0410477067905 | | 0 |
| epoch 22 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00709438983963) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000326248931149) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.942062404622) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00415068920104) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.943530684571) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00326994314494) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.0389786472033 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.94488731841) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00304897116124) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.621866480921) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.230583166668) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0383600487131) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00746530306287) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.0409001362317 | | 0 |
| epoch 24 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00500567613601) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000704419339531) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000217294650084) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000112850138755) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.942247271472) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.943944202642) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.039006245961 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.945315424824) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00968919173941) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.946392403432) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.947770584396) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.948958440543) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00872860221641) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.0354308729668 | | 0 |
| epoch 26 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.949894928257) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00380412629758) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.950917238953) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00286414443756) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.951934637758) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00264594846566) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.0333015728561 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00104787041576) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000484121900555) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-4.2042274693E-5) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (2.77987514601E-5) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.952911081305) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.95402985385) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.0321257784411 | | 0 |
| epoch 28 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00585474493921) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954789758849) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955779347495) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00500410477474) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000286707365683) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000474862262179) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.0307931465129 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00010052771539) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (1.18517653159E-5) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.956456103356) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00352474407328) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.95727411296) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00251683215092) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.0296769239391 | | 0 |
| epoch 30 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000876437404905) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000429219718176) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.958031006566) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00337239067878) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000625158582209) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.958772107213) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0286210410902 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00293388884623) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000711034686147) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000419578467003) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-5.22077345217E-5) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959499217343) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96032338746) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0278021383413 | | 0 |
| epoch 32 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00501609523508) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00011082473553) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960856441685) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00271757307382) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961516650461) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00217699032964) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.0267782374603 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000804118929937) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962126646323) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962850383137) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963445277386) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00593500554675) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963921094965) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.0251441708648 | | 0 |
| epoch 34 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0026506646645) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000590751006487) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00036564714995) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-4.78082473962E-5) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964438661332) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965071789565) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0245229955981 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00437961825468) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965507209275) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966078789191) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00377632564127) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00021762410426) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000358684005907) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.0237080401943 | | 0 |
| epoch 36 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966471853812) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00261893522382) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.96695511716) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00191226500213) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967409987913) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967930702403) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0224753022351 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00315943339141) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968298113438) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968784110478) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00330814548542) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000239130145401) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000326940449199) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.0218372683486 | | 0 |
| epoch 38 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-6.58741487383E-5) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969119179303) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00246017467682) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000447397129562) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969515693445) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.716996292459) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.347052481583 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96351938882) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.793484689304) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0323707546094) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0273360842714) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00971594553861) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000341876863441) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.0297736402173 | | 0 |
| epoch 40 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957899340537) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.958788383603) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00448291608487) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959398330511) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00259656953393) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.960081016885) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.027717128384 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.960865087697) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961526198161) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00562298538101) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (9.23787779244E-5) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962021309789) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96274387588) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.0260933387225 | | 0 |
| epoch 42 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963342243377) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00583933534606) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000216838062148) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963787430029) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.964442788319) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00401407857267) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.0248235629386 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.964894849604) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00226022810739) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000655918302377) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965390668778) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00245762879458) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000586119041536) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0241167851799 | | 0 |
| epoch 44 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000349000268806) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-4.38506082725E-5) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965901042985) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00273381773801) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000495317701934) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000347486503447) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0237668667099 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-5.07211294544E-5) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966390517342) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966955272435) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00412933907321) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-9.32990212035E-5) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000354599224549) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.0231052711243 | | 0 |
| epoch 46 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-8.47319244057E-5) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (6.33763339827E-6) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (8.42633858735E-6) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (1.68383736143E-6) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967326593205) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967859702894) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.022589836097 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968303494506) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968735154393) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969155011399) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00807376795018) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.698285075627) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962978340491) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.142263932955 | | 0 |
| epoch 48 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966115243404) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.196990903598) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966772716838) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968284871854) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968714609812) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0400100462862) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.023320732863 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0115727775057) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000185099620343) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969379977162) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00338328229147) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969778511539) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970217916579) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.0209139987741 | | 0 |
| epoch 50 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970598398627) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00449193953625) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000135303860449) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000324168894371) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-9.51082574512E-5) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (1.20536096376E-6) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0205867509393 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (7.92205437772E-6) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (1.96330526158E-6) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-1.23304982114E-7) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97088587658) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971308060097) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97166090283) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.0200808651541 | | 0 |
| epoch 52 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00477189927464) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000247015420736) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000317519212981) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000102316261831) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971924337254) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0022213593837) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.0196166356139 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97226086772) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0016024198553) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000555247292043) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972573551012) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972950108658) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00310264083789) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.0189435870843 | | 0 |
| epoch 54 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973210088213) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00172065349226) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973503223673) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973845126179) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974137832175) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00370648234443) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.0181199279476 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974374622787) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00177735712198) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974639466498) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974951880227) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975220134229) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975482690019) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.0174640066204 | | 0 |
| epoch 56 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00462808213144) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000348551558221) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975676089622) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00160019883879) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000431810328435) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00024028634649) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0170251774347 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975922779369) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00187894315745) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000350424136864) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976163350206) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976446544006) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976683480416) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.016528666236 | | 0 |
| epoch 58 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00367543439248) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976875278471) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00166049457208) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977089226449) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977343511134) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977562620528) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.0158787657621 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00322987816596) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97774038044) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00154191358706) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977939590134) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978175387146) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00216724425925) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.0153135209102 | | 0 |
| epoch 60 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978344283573) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978569218961) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00224551358089) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978731932436) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00132081337034) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000394535231047) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.0149118541454 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978912481832) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979133947697) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979319553468) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00325520030201) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000129463321079) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97945944794) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.0144093618873 | | 0 |
| epoch 62 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00136472304501) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000357095379056) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.9796339453) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979840329499) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00227988670525) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000105541037138) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.0141592549775 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000209830656215) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979977390106) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00153089773708) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98014793551) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00112867026429) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980310445198) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0138094520273 | | 0 |
| epoch 64 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00104931448073) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000408733848357) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0001902159376) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98047002441) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98065922682) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00234884077898) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0135826700737 | 1 | 0 |
| epoch 65 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980791292604) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0012486427713) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980940618562) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981116457257) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00185316400977) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000171033816792) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 65 | 0.0132679606564 | | 0 |
| epoch 66 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981237259837) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00128024011206) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981386906922) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00102919076782) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981530090486) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981695668342) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 66 | 0.0129026186073 | 1 | 0 |
| epoch 67 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981838247639) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981978626141) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982116829054) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982252906931) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00484902131801) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000641058543811) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 67 | 0.0124827574045 | | 0 |
| epoch 68 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000221231498372) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000108804863198) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982347157173) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00136877405706) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982479247675) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982627052183) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 68 | 0.293627858106 | 1 | 0 |
| epoch 69 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98275540791) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982881883245) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00321338779771) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000245262814834) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.774298940518) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979307357563) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 69 | 0.349122542495 | | 0 |
| epoch 70 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980920711241) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981073786577) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.200290972968) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981344781007) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982072253033) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0436415835547) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 70 | 0.0151910447092 | 1 | 0 |
| epoch 71 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0120543221426) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982348021953) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00268347342679) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982512343977) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00123139176308) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000283168143346) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 71 | 0.0122822282812 | | 0 |
| epoch 72 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000172134931612) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982632057768) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982781454036) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00207659785679) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982885972687) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0011077361746) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 72 | 0.012019648522 | 1 | 0 |
| epoch 73 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000302096098676) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983001551425) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983144976264) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00189666870589) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98324519122) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00105962851232) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 73 | 0.0117689165169 | | 0 |
| epoch 74 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000301905024148) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983356378272) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983493857444) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983609648479) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983723833839) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0032553312883) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 74 | 0.0114453535072 | 1 | 0 |
| epoch 75 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983816351239) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00127929193085) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983918662845) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000918712973629) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984024857641) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984148411324) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 75 | 0.0111854933256 | | 0 |
| epoch 76 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984255155113) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98436047471) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00286888817735) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00020786836949) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000175463377695) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984438394682) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 76 | 0.010949554891 | 1 | 0 |
| epoch 77 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984558220509) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984659484105) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00247179015868) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000115139225317) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000167805802742) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984735735423) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 77 | 0.010742336221 | | 0 |
| epoch 78 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00114151783971) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984834512614) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000853732444243) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00029941444906) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000146146330285) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-1.40448954461E-5) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 78 | 0.0106572722516 | 1 | 0 |
| epoch 79 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984928343188) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00117485717815) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985024239499) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985131991653) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985225834954) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985318504019) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 79 | 0.0104976648875 | | 0 |
| epoch 80 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00274482646512) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000209299884703) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985387308062) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000947502108525) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00025560980658) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000142258667308) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 80 | 0.0102702737052 | 1 | 0 |
| epoch 81 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985475649053) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00111727693948) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985564971578) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985665073907) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00142938648458) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985737533077) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 81 | 0.0100352505676 | | 0 |
| epoch 82 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000866840462556) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985820240968) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000761595260751) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000288755801333) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985901739908) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000975901870339) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 82 | 0.00991054312695 | 1 | 0 |
Success in 83 training rounds!