| epoch 0 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.186298672257) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.274655475523) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (-0.331119701205) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.318458314748) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0670413712479) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0514449594819) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.649491796711 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.370806732381) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.201259684097) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.588244402451) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.655953730082) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.714032063906) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.753262705151) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.552399936324 | | 0 |
| epoch 2 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.782273183053) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.804677298144) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.778258843738) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.78471893726) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.822526952794) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.724415286069) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.371046583748 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.344567429543) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.665475163777) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.300176110818) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.611588814675) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.832732368286) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.841720898425) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.337124895891 | | 0 |
| epoch 4 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.853363141993) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.863242840042) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.77087731987) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.13276430752) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.687170596779) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.117579968644) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.138621596223 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0161758953952) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00506722402204) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00261134504474) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000273601304555) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.714680412134) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0959266292981) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.131139701761 | | 0 |
| epoch 6 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.739573038244) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.775204845208) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.878025393055) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.807099977357) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.693418657139) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0426090566917) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.330722670007 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.874375766027) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00348528265591) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.88086464009) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.773323817746) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.643476977532) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.73529017784) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.114726000101 | | 0 |
| epoch 8 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00634484727588) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.885989314493) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.775804295459) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.897700684849) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.808226957824) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.767938705993) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.321925706404 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.886076056549) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.748601894434) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.905243318935) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.138658368122) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0352199226479) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.755432421167) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.330796865873 | | 0 |
| epoch 10 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.073620196403) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.907488378211) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0101402302745) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.77713234772) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.238808239678) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.040658389561) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.123036426516 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.731830780903) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0987286181745) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0136036872176) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00428211283997) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00220152366027) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.748407198379) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.339229752589 | | 0 |
| epoch 12 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.080984782871) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.909450219201) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.91264421349) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.916045571204) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0188708345454) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0017180320965) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.0999456415024 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.918380238851) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0057665908758) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.921318772669) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00462906969541) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00176839218682) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.923949335952) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.0518157224547 | | 0 |
| epoch 14 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00575018221496) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00136647224044) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.926466005362) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00549699976373) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00132749648384) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000782624490133) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.050326059467 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (1.04323214749E-5) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (6.04969462087E-5) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-9.02717585493E-5) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (9.12363463775E-5) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-8.8600700524E-5) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.928836101581) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.335118639187 | | 0 |
| epoch 16 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.812190240392) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.702220860009) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.746281351872) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0544462678367) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.772203662292) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.193536708806) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.131503050087 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0222018959144) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00913268914247) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00415056935729) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.710282100142) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.75853496511) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.159141178849) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.109832386994 | | 0 |
| epoch 18 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.757578345375) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.931545015317) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.093208569611) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.931889954543) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.777474305003) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0873039425779) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.0468529305061 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0131593972814) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.934149649767) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000932802007591) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.935932773277) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.938020108819) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.939702737893) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.0419469345579 | | 0 |
| epoch 20 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.941294898116) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0111605983103) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000749597293849) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.942436414351) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00398568047652) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0010718814832) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.0397106280993 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000597539809308) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.943854534157) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00459515453977) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.94523272176) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.946716540984) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.947953477368) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.0364047769037 | | 0 |
| epoch 22 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00795013328999) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000176856732266) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.948866094292) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00356973383814) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.950000522549) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00286198023081) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.0346143797518 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.95105949865) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00268621526542) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.952078178476) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00260694326259) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.953054998316) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00254724865555) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.0325408210168 | | 0 |
| epoch 24 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.953991863477) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.955041324381) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.842557160168) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.786102637734) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.948828508772) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.953836167787) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.0328154999202 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.9547469587) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955635008931) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0142461149699) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00211365630444) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.956226727629) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00277530472787) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.030382760147 | | 0 |
| epoch 26 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00084919795823) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000442814765629) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-4.7196144558E-5) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (2.3154176602E-5) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (9.79577748571E-6) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957033062179) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.0298262380538 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00346494042013) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957829218917) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.958701069749) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00429309086874) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959314022797) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960118692587) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.0278820044767 | | 0 |
| epoch 28 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960805633281) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00603458233495) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000172286056516) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961317329239) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962066850446) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962687444036) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.0262970567334 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00594090457836) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963183637995) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963828840906) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964392546705) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00582230596293) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964843654153) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.0245128374322 | | 0 |
| epoch 30 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965430371588) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965944710244) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966443817748) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966928236183) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00848824433662) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00103959480682) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0231470598765 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967267665618) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96779746202) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968243005483) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968676332579) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00625392224539) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969022948346) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0216578310567 | | 0 |
| epoch 32 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969471481688) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00380254848585) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969803173017) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00199968829129) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000541965375865) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000300885583112) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.0210934814931 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970169332779) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.970614181729) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00362200166388) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.849608220193) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.235676658931) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.806581174749) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.0332148505689 | | 0 |
| epoch 34 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969955776791) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0299164916171) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969803225874) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00674870805275) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000693102864927) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970014070412) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0209344298411 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970458977661) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970833236524) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971198102438) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971553806136) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971900692216) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972239087829) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.0205059936691 | | 0 |
| epoch 36 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00941001970582) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972506420165) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00288865750887) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000211846193885) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000286170685207) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972776454311) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0190469637115 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973146282687) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973454971041) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973756638388) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974051425672) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974339567994) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00778833263315) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.018000493432 | | 0 |
| epoch 38 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00112922191372) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000329429563132) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000175989360874) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974533366265) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974856216016) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00308062725909) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.0176209392924 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-7.65305614439E-5) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975068288893) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975377222817) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975636354739) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00381133332134) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000141703885298) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.0170909250695 | | 0 |
| epoch 40 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975831268471) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976120603228) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00264501076255) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976322837379) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976591144779) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00250836274235) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.0164155233322 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976785514111) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977043649534) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977268649108) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0034231965566) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (9.96144837015E-5) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000247952743532) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.0159534253458 | | 0 |
| epoch 42 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-7.24368881708E-5) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977439515378) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977692043107) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977904401848) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978112760909) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00462605249832) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.0153611447213 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978280572834) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978498500979) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978695697301) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978889291266) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979079356655) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979265989842) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0152015048901 | | 0 |
| epoch 44 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00631185869081) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979414878399) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979604219359) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00289967149647) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979750892232) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979944558775) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0141502765585 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00225496769213) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980086796415) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980275902633) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00210948616981) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000134311619393) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000203679163448) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.0138539094514 | | 0 |
| epoch 46 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-4.2211662183E-5) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (5.31930015158E-6) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (4.75995100803E-6) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980408430504) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00152607632177) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980570987915) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0136322717363 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980752994228) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00193500950812) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000162683665489) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980878346101) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00130391482928) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000322312559987) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.013414400448 | | 0 |
| epoch 48 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981030105647) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00131352164684) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000314416022629) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000186829747517) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981180925711) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981356521658) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0131751190978 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981504463827) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981650084348) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981793405918) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0046161800362) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981908644534) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982057195209) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.0127023031968 | | 0 |
| epoch 50 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00237689962852) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982170619357) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982320956133) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982453906915) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982584871728) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98271387666) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0124896767826 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982840965681) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00492457644549) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000688816919104) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00021486380848) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000110969927779) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982927993376) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.0120062204203 | | 0 |
| epoch 52 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983072153368) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00204592210847) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983173148098) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00108965004346) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000296645129911) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983284837846) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.0117498021089 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983423491596) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983540277785) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00256904930776) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983635376554) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983760873327) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98387293579) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.0114678549705 | | 0 |
| epoch 54 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983983461254) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984092468284) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984199988154) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984306051273) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984410687217) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984513924769) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.0118343279021 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00659005128846) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984595491522) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00184590916412) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984679248784) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00098788211629) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98477398916) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.0107033484688 | | 0 |
| epoch 56 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000828879621941) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000308004870262) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000146391620782) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-1.34214374864E-5) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984869060857) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984981934533) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0106299405721 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.001820961918) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985061310188) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985166997572) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00160016423414) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-9.36516799147E-5) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985240843552) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.0103841647252 | | 0 |
| epoch 58 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000996115075699) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000248113689664) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985330881169) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00100952079497) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985422314366) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00080441984812) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.010248172878 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000291582559639) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985508144561) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985612271535) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00161695714638) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-7.36521894229E-5) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985681525957) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.0100762266802 | | 0 |
| epoch 60 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98578267874) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00157012853966) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985853859269) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.905376783332) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982975531941) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984250761079) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.493998502402 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984354859346) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.195651201358) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98455810338) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.043077157576) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0118163753801) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000365757227165) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.0104399166454 | | 0 |
| epoch 62 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00104027460848) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000241212027578) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-2.05067363811E-5) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985267831113) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985374818588) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00174010555278) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.010288398874 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-4.99666803123E-5) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000152199358544) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985446302906) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00110135390936) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985536021471) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985636569508) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0101450190701 | | 0 |
| epoch 64 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00142901005322) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985709320463) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985806691304) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985892170433) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00207595373284) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985961978101) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.00988500550546 | 1 | 0 |
Success in 65 training rounds!