| epoch 0 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (-0.150840091485) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.63365569935) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.736606770563) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.774004947137) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.693659831029) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.559987653751) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.515576698153 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.62577492175) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.306980132207) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.187333052608) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.471891148008) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.189250026639) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.201482404842) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.291065328371 | | 0 |
| epoch 2 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.231088973149) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.603254024668) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.682585471225) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.585400416936) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.641721759982) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.710070015888) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.20505409148 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.192101554887) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.759060744846) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.15143580377) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.780740683807) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.80473705288) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.114104459992) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.371900361375 | | 0 |
| epoch 4 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.16886663729) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.827351803438) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.835363318013) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.772320573657) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.780194834381) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.803851105682) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.146669345341 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0894219689836) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.824997763018) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0535565242396) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.14260249905) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.102613606232) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.837722842123) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.119555919843 | | 0 |
| epoch 6 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.850463262004) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.861081368127) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.870168700587) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0723729653032) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0589882748996) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.879964326076) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.371657470098 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.886549693486) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.892489807486) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.897800094257) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.902578527868) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.906904019898) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0319483897573) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.602206894741 | | 0 |
| epoch 8 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.741853135705) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.905192065009) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.902161513215) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.906463423639) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.910437890637) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.914070605117) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.127574311643 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0724542054997) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.057059929385) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.276179008686) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.129694945206) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0767974467575) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.912708397557) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.283152000913 | | 0 |
| epoch 10 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.149488310687) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0780764777991) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.91581405724) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0688865623753) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.919735282329) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0544883792127) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.0755097966347 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.92326301654) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.115144913588) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.926180559593) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0566370220493) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0717095096508) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.927613736821) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.0613382801702 | | 0 |
| epoch 12 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.928792741455) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0525557528374) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.931262530165) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0514078743646) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.933761351694) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.934879041371) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.0533166200287 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.936757258082) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.938530088828) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.940202486765) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.941782929755) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0385862597025) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.943429084284) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.0473758498324 | | 0 |
| epoch 14 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.944942079123) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0287291087692) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0572519932457) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0381148387776) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0236682359008) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.946259876143) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.0419295110842 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.947517938346) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.948727901771) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.949881597111) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0463342380254) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0269690290289) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.950661794999) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.0372005833778 | | 0 |
| epoch 16 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951759206437) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.952778043032) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0127986536847) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0345477025185) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.953913994758) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954446906049) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.0336648755515 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.955351841525) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0240125814072) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0186306351617) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0118700501764) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.956229078048) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00847528696768) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.0315694182598 | | 0 |
| epoch 18 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00784262327956) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957171018581) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957892995404) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00332036843465) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.95878137707) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00165132703234) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.332636741918 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.959536854834) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.960144279119) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.816879978875) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.958838060169) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.956519262794) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0282979580789) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.314462200004 | | 0 |
| epoch 20 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957510563644) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.012302759478) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.958498841781) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.959206215318) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0325557092567) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959993333205) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.0314827988773 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0256668389084) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960847695348) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0200385536109) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.016227234025) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.014047394405) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0179988392356) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.0282629220564 | | 0 |
| epoch 22 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961697134925) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0113142575987) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962421739681) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962869649429) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00893334620866) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963548802631) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.0263924336955 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.96398130402) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964543004101) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00918975598641) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00260368644693) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965107033566) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0100757216299) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.024945863147 | | 0 |
| epoch 24 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00869210403547) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00723839612026) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965684834278) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966150727659) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966646119588) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967127020574) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.0236741082004 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0143194852416) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00485618790895) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.96757048166) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00375015637486) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967994469437) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00224441624485) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.0225710861439 | | 0 |
| epoch 26 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968451568583) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968822991841) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969242256152) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0124508009808) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00323858943801) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00585689753338) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.0215502046262 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969645211274) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00061121305455) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970013227098) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000275910536168) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970403140078) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000991826697192) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.0208297929208 | | 0 |
| epoch 28 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970779644975) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00156902985429) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000135031374916) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00756283868966) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971127714137) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9713948155) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.0202236964831 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971746907192) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00242376736076) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000802944823333) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9721378339) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00256096013125) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972470456185) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.0197860186739 | | 0 |
| epoch 30 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972732974409) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973052576889) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0124819010323) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00430112609577) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00057664028105) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973326711369) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.018852988923 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973580912991) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97388074812) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00744325137256) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0012568161355) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00152547105625) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00122939520052) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0182916746846 | | 0 |
| epoch 32 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974175176868) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974410583647) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974691680427) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974966661622) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975235636481) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0086318724314) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.0174001254704 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00254378621226) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975501296201) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00427120673579) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975752674723) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00546774474893) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00207919982963) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.0170441287269 | | 0 |
| epoch 34 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0014314859768) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0018274266736) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00146681695088) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00123163943907) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975941297747) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00213460317062) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0168579354078 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976182451153) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0029089281062) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00132303602419) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976410401529) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00252159380276) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00137887762791) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.0165379121958 | | 0 |
| epoch 36 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976633288087) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00275572823534) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976864387117) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00285513148825) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977085971486) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977264499354) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0161428306004 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977485847916) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977702940375) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977915826735) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00523763531028) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978162328428) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00734718401287) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.0154107199188 | | 0 |
| epoch 38 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978341897388) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00438378730881) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978521094659) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00414742859873) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00232363405196) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978694899307) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.0152271789838 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00353089215258) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00187360875781) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00328525658289) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00109608132169) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00107391823657) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978851883735) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.014954820987 | | 0 |
| epoch 40 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00225219195037) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0009329738261) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979034521337) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979189245055) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00449232730738) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97940018421) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.0146057309929 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979537928188) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00317931404261) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979747873864) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0031257646855) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00161145797662) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00144253911663) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.0142721228833 | | 0 |
| epoch 42 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979902667269) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00252996879851) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00318390621448) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000678030770574) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980052465106) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980193064945) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.0140638950536 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980360654697) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980525437404) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980687443526) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980846743166) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981003404129) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00500575915969) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0136790057956 | | 0 |
| epoch 44 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00304744296655) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00265556904329) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00220892178404) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00184705044001) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981154459556) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00283143611515) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0134516780593 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00572086762954) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981289873974) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00454214371606) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000355154889117) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00154631596752) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000314402322927) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.0131576903831 | | 0 |
| epoch 46 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981399296682) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981522342769) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00198088997069) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00192332368787) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000562764208065) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000996329932441) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0129590354967 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981677964646) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00158344472811) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000538837096215) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000994103635051) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000349819161993) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981810242044) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.0128305847851 | | 0 |
| epoch 48 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0014657632576) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000456447012959) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000455031623286) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00037323919323) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981945400936) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0014334507444) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0126829374995 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000437330677026) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000438300546478) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000359328886358) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982078568923) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982192568008) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982327800121) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.0125920966681 | | 0 |
| epoch 50 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00421097923164) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000785738158902) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982468107939) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00203974751079) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000904519412147) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00165724406366) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.01231894911 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000768408006352) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982584505144) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982690961879) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982818674527) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00250048580213) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982966238798) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.0121572314578 | | 0 |
| epoch 52 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00372590267192) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0010786817727) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00109629289314) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000897551723081) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000751891888453) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983064871711) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.0119740628859 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983165482713) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00277553703677) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000950748824186) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983296900175) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00200892292696) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000911024724351) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.0117468589039 | | 0 |
| epoch 54 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983409782756) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0022712282862) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983523057542) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983614257551) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00254336452148) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983745180796) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.0115497453334 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983833143274) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00290534309314) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00146366062486) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000847165609162) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983951418595) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984041361583) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.0113749589775 | | 0 |
| epoch 56 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984149798781) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98425677918) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984362310573) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00408546097588) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984485513852) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00457819414953) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0109957671778 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984575066259) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0034998085461) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984667223356) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00326206306844) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00188667490912) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00165710416915) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.0108297759795 | | 0 |
| epoch 58 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00137719236986) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00133197960862) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000968831756515) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98474040689) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00181921573258) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000821527570924) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.0107383551201 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000860974442982) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984831786083) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00166954161743) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000722466163981) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984922972382) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985002462993) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.010633355704 | | 0 |
| epoch 60 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00201678020014) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000976941211471) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000884278578998) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000732521650029) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985106950549) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0015670738916) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.0104821535845 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00115387594325) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000609994827128) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000348507973144) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985191349572) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00136793609072) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000503430918471) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.0104136585403 | | 0 |
| epoch 62 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985281632395) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985357832007) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00178174362461) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00146596860209) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000635523985502) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985456587973) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.0102981497363 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00151258189169) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00107819640438) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985541778389) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985613958094) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00182675601546) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985717013189) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0101703164917 | | 0 |
| epoch 64 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98578572318) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985871620054) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985956493329) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98604034379) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00515204349811) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00168880999831) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0098843658106 | 1 | 0 |
Success in 65 training rounds!