| epoch 0 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.048958787335) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.489795748478) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.126858818966) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.42789824426) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.358890881104) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.21087142003) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.635748764336 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.044895598089) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.0707468655555) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.426507857709) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.623954114962) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.706114321951) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.612800203693) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.433601865589 | | 0 |
| epoch 2 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.459897088421) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.570103747343) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.672603791799) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0789109276718) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.739626982128) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.770691409615) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.384207233385 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.668494652614) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.613076558377) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.659882477779) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.720844271403) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.248315579091) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.217465085432) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.365008948706 | | 0 |
| epoch 4 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.174829399181) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.44514831956) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.576633959891) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.677097329754) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.733798098666) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.770613329918) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.581640508594 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.797162718452) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.817505092487) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.833719694735) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.847015926645) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.858156794243) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.867652221877) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.591285539031 | | 0 |
| epoch 6 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.815624125609) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.817958870528) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.749228918342) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.200659540006) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.185616385973) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.727212131415) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.197024936999 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.13234071445) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0169855763558) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0143700834678) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00369008339788) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.742407463057) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0723605195352) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.35515895766 | | 0 |
| epoch 8 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.769927580961) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.111131387728) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0747035769148) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0342464354081) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.617930746673) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0261079950204) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.218798944648 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.694668992406) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.735650833297) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.771484620612) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.797800915999) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.81800531924) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.04171798432) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.135957347317 | | 0 |
| epoch 10 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0163038243949) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00612970586869) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.841315568604) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0135040714009) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.85394089322) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.862616977618) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.367314981753 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0144681660194) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.873442976688) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.879929036739) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0138552401482) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.888160118292) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.842441581557) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.399835173814 | | 0 |
| epoch 12 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.842368076278) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0911304474749) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0178447973531) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.684887175151) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.824056165737) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.82552253093) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.361237275711 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0168147228141) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.84306788425) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.853199132445) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.154986667076) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.864183018705) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.868465536567) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.368336666579 | | 0 |
| epoch 14 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.876508113862) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00600875464727) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.884923219834) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0060457498394) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.891300264228) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.895931183885) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.383951981726 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.854122927671) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.181579588811) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0535970298144) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.59712911136) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.802192078882) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.707831749151) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.247637672461 | | 0 |
| epoch 16 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0454155154928) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0117153073394) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.741044521664) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.130880000525) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.754345170243) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0191439221303) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.241568830048 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0746854629386) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0834293672352) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0673554898491) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.417616104802) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0429670150178) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.060966628601) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.210348158534 | | 0 |
| epoch 18 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.704496403732) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.739630550337) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0767494461543) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0322532784492) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0126275735239) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.790875755618) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.357025898794 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0203015439167) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.813602484316) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.828143011979) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.842358239224) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.854229317163) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.864288317358) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.367980588734 | | 0 |
| epoch 20 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.872939353272) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0350745461587) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.883019242846) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0205966898926) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.890636675065) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.895556378723) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.374427561994 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0160391226054) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00521137674224) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00173990360047) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.902410690407) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00708249516697) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000319796980656) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.376096441515 | | 0 |
| epoch 22 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.907075546685) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.553769662238) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00183073965955) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.823572507187) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.836021820141) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.30222441781) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.35423631577 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0277481669682) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0381888314167) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.123091024527) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0340138504908) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.715290181679) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.612855263139) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.243449968777 | | 0 |
| epoch 24 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0380167405179) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.675341970788) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0270251425041) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.732689930315) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0193671269288) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.770537941394) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.158173672114 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.144830568851) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0208766143789) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000768522139395) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00122365767078) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.769547784522) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.791573048414) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.357573337829 | | 0 |
| epoch 26 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.813010255844) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.830088507176) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.765538959276) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.119495133424) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0438348386034) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.786437535928) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.14473851036 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.803912419058) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.822695932502) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.104668182164) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.845609176372) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.857256468033) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.866883841666) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.369901481445 | | 0 |
| epoch 28 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.875190416924) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.882445423726) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.88884494266) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0581440684158) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0198482767357) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.058902734481) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.191227310033 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.374990053298) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0965061884018) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.837901558493) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.850484463915) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.861097327721) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.870182430309) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.103050825176 | | 0 |
| epoch 30 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0798128764466) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0160195277127) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00217503615672) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.877173871895) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00944707084831) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00248511983118) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0820592471243 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00140184493289) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.883970867558) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.889141671595) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0155933213088) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000327420638234) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00133229104584) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0739580692538 | | 0 |
| epoch 32 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.89540798556) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00901352342987) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.900046416985) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.903989495223) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.29166203638) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.88935783693) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.108226201695 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.106085564718) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.89442434652) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0155151337757) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.898413254164) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00198135301328) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.902793647732) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.0662612527877 | | 0 |
| epoch 34 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00487606694608) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.906934283252) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00518234047144) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.910742962333) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00504667109526) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.914240898951) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0587321241404 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.917081917205) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.184563579378) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.911520935509) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.91357144775) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0843461663725) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0258686242375) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.0569247586926 | | 0 |
| epoch 36 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-4.45041633764E-5) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.919177303242) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00895038434329) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.921852424477) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00518602021735) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.924543007) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0518981624348 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00436710200676) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00170139469423) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.927116050409) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.929083938486) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.931324836948) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0118192165454) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.0470382014292 | | 0 |
| epoch 38 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.933479956266) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0051269267333) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.935438749693) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0038296158099) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00139318942634) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.937312367796) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.0434307125033 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00464764625459) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00110475786239) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000659042065292) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.939003572624) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00502155080427) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000939523003475) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.365422655863 | | 0 |
| epoch 40 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000645990715831) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.940601870606) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.941901945512) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0074766879126) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.943476686467) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.907086637812) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.273795615632 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.93365147242) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.939529353524) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.647995868653) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0273035932268) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.944859313722) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.945751109148) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.363870920484 | | 0 |
| epoch 42 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.885021566293) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.936331350678) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.941941921163) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.943447446652) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.944857290856) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.153541580893) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.048372161487 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0457622072087) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-2.73930234839E-6) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00365259206287) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.948343800716) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00487747838338) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000607186622623) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0357095825905 | | 0 |
| epoch 44 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.949501997957) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00361860553118) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000889379987025) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000520724156525) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.95059404561) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.951486608162) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0338570054089 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.952516443564) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0082584875549) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000434462917777) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.953576263247) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.954369055082) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.955278011402) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.0314184782268 | | 0 |
| epoch 46 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0071765142812) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000259183281862) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000506703859582) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.956232771907) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00342182614967) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000680851430261) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0303765017338 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000450764566832) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.957045746246) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.95771697923) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.958495271705) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959245094722) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959967613432) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.0288214197703 | | 0 |
| epoch 48 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960664315395) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0124058245925) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0018252885465) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000517731642532) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000280632965864) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-3.15460745357E-5) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0273356888158 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961341500766) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961885558467) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962515776475) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963125290201) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963714839047) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964285401804) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.369254028617 | | 0 |
| epoch 50 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0111942830515) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.901400462562) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957534874802) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.194798689117) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0599527869399) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000811606676552) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0264049435929 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00456797485779) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96287362274) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963401239385) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963981669248) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964543743514) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00858490346452) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.02471004322 | | 0 |
| epoch 52 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965068355828) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00307284341439) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965604199934) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00205465537813) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966106496682) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966534072244) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.023439006321 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00331168525284) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967056113966) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00203086912322) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967517526934) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967910132561) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96835464615) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.0223051595694 | | 0 |
| epoch 54 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968786911617) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969207293842) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00725624709348) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969602979286) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00262856527126) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000385806867621) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.0211978192891 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000310593606003) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-4.98898248636E-5) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970023907306) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00238687305547) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970385075471) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00171704522029) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.0206833443828 | | 0 |
| epoch 56 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970755367466) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00157917121598) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971114627619) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00153831943016) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971464704257) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971765684121) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0198171999862 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972108681368) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972443396938) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972770033657) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00632498129049) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973079051401) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00230510147746) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.018814282263 | | 0 |
| epoch 58 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000342718444368) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973407711755) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00184662256016) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000449969640285) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973704246749) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973951713504) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.0183334495373 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00296865152182) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974262212363) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97451290771) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00275029628181) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974811419689) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975050822473) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.0175541298618 | | 0 |
| epoch 60 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00266261751247) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975336979211) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975566289913) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975822345647) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00364455926488) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976081882031) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.0167998983452 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97630141195) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0027119139253) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976557775397) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976765424896) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976996729779) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977223452774) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.376156220655 | | 0 |
| epoch 62 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.920540521358) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.649460233471) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0302284244232) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976141233962) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976232860295) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976474788733) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.366289641615 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976712023174) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.895992457141) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972147559603) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.164499604168) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97574334706) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0337645107004) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0185093933736 | | 0 |
| epoch 64 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00966521133812) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975627382122) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975804297356) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00391659624927) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000175144477825) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976075123599) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0168091297586 | 1 | 0 |
| epoch 65 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976281768499) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976522885948) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976759141889) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00463392239489) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000396129977266) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000267711964077) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 65 | 0.016258864096 | | 0 |
| epoch 66 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000101295524116) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-4.91988179448E-6) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977006244162) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977196348356) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977419055577) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977637450614) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 66 | 0.0160142028464 | 1 | 0 |
| epoch 67 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977851601439) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97806163163) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978267660072) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00756327087566) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978443941146) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978636425003) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 67 | 0.0151394497422 | | 0 |
| epoch 68 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978831692397) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979023383821) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979211588127) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979396400422) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979577912378) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979756212371) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 68 | 0.0154256271351 | 1 | 0 |
| epoch 69 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979931385633) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00941533779692) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980064096971) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00255390888626) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980245179195) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00130811911726) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 69 | 0.0138540158789 | | 0 |
| epoch 70 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98041047897) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980552119636) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00191319741382) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980726195182) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00117161956317) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980882443232) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 70 | 0.0134428390651 | 1 | 0 |
| epoch 71 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981016976001) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981170812864) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00265571850301) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (3.9576193295E-5) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000202166168741) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-5.57293081425E-5) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 71 | 0.0131964491976 | | 0 |
| epoch 72 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981337402646) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981462038597) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981608686199) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981753035624) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981895110323) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00460184740013) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 72 | 0.0127147344098 | 1 | 0 |
| epoch 73 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982027730491) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00159937065701) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000204663957845) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98217401198) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00121967719681) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000298200483275) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 73 | 0.0125118652691 | | 0 |
| epoch 74 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982306416902) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00122265821611) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000292733104128) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982436520825) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982546143089) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00196181881447) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 74 | 0.0122440308346 | 1 | 0 |
| epoch 75 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-9.20542351179E-5) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000180879001113) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-3.96642078731E-5) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (4.15762550152E-6) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982691004611) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00134718696851) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 75 | 0.0121561797381 | | 0 |
| epoch 76 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000246735991878) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982815522799) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00118116474467) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982933403709) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983040811712) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983163383575) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 76 | 0.0119402637439 | 1 | 0 |
| epoch 77 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00239201324786) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (4.16375014579E-5) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000180534212499) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-5.02699016338E-5) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983296261391) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00130050549696) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 77 | 0.0117340921136 | | 0 |
| epoch 78 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983407187016) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00094478408665) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000326042424573) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000160353725682) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-1.56085819084E-5) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (8.77006642419E-6) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 78 | 0.011648689212 | 1 | 0 |
| epoch 79 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (3.52890382325E-6) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (2.15909680357E-7) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983526276235) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983623343265) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983737578947) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983850236454) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 79 | 0.011588018041 | | 0 |
| epoch 80 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0033653104901) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000318971147707) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000186289254783) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-7.3952902268E-5) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-4.3246151584E-6) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (4.79183220755E-6) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 80 | 0.011336257514 | 1 | 0 |
| epoch 81 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (1.59184558668E-6) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (3.05332761297E-8) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-1.19408995136E-7) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983968118673) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984060014267) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0019243117481) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 81 | 0.0111903339645 | | 0 |
| epoch 82 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984174551724) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00102311906524) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000278605203396) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984284251464) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984371844633) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984475809335) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 82 | 0.0110378909414 | 1 | 0 |
| epoch 83 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984578405213) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984679640525) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00373188714771) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000443513182024) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000183233290926) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984783839892) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 83 | 0.0107299412284 | | 0 |
| epoch 84 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984866126009) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984963577461) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985059786835) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985154761065) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985248523917) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00430174370346) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 84 | 0.0104022866122 | 1 | 0 |
| epoch 85 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985333312511) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.914167595411) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.163358343277) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0818271158975) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984524976814) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984410682719) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 85 | 0.0109635491447 | | 0 |
| epoch 86 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00076146808367) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984534590271) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984618207232) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00118179537548) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000221726288656) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000152192343571) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 86 | 0.0107955135245 | 1 | 0 |
| epoch 87 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-2.1831910888E-5) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984732604116) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00118942744808) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984825205655) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000862982674308) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984921299991) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 87 | 0.0106184342106 | | 0 |
| epoch 88 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000799875831839) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985015723377) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985097825338) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00142170239001) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000142483510646) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985203924149) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 88 | 0.010431560187 | 1 | 0 |
| epoch 89 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985281785597) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00163386750437) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-8.08564527833E-5) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985384282996) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985460384674) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00160596048052) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 89 | 0.0102133874749 | | 0 |
| epoch 90 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985556320782) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985634478416) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0015196111972) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-9.81837847371E-5) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985732406807) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985804861975) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 90 | 0.0100384393734 | 1 | 0 |
| epoch 91 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0015695193305) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-7.92311392581E-5) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000146161332833) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985900742276) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00106891356675) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985979498588) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 91 | 0.0098785533671 | | 0 |
Success in 92 training rounds!