| epoch 0 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (-0.0244889810921) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.78780463035) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.833092991221) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.248056704224) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.736512848263) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.757915011646) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.526844900125 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.769381886565) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.14486063345) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0504424535347) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.633174030408) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.714689088893) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0502078097997) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.289702885649 | | 0 |
| epoch 2 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00776974174129) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0273374622775) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.609366950248) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.603417169118) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.739852538402) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.244773535693) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.206395130395 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0664718900146) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000856412794609) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.770565122654) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.792322697689) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0289869028423) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00182039005338) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.187992576205 | | 0 |
| epoch 4 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.815884459767) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.829508669136) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.843474866489) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.647281704448) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.208105303901) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0286976340887) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.209280087812 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00846078635279) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00449434529811) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000491812719199) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000231668922575) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.801256675305) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.019882492766) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.203179336746 | | 0 |
| epoch 6 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.819067763743) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0124617608133) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0046459835332) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.835009834069) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0140038727428) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.847034493431) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.185277904985 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00992773911913) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0038369621173) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.58817160509) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.885127559227) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.895038569751) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.687330256626) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.293300904309 | | 0 |
| epoch 8 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.093042740437) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.010383045682) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0100798038887) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.572412745155) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.168512260056) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.631957176657) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.307437406368 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.146241434035) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0211277739169) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.90628658338) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.909912853557) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00466727415276) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00224594836609) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.0607110485196 | | 0 |
| epoch 10 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.914146949153) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.916901431141) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0104260070913) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000447121435701) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000950241291174) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000211293945806) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.0563140187878 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (2.1082798614E-5) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.920356788043) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00679895002451) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0012445378528) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000867472552953) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.923128387254) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.0529992081061 | | 0 |
| epoch 12 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.925334856722) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.927826475741) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.930152405284) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.932326697648) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.93436408382) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.022313829902) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.280041420733 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00338096111531) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000905126251542) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000505807375626) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.675466705818) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.911991707866) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.543631693228) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.0505910241584 | | 0 |
| epoch 14 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0130100796963) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0309123843791) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00702817104028) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000642931955446) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.933929289759) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00619086846781) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.0454523323491 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000840338700581) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.935806576397) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00469508656919) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00115322510064) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.937585243944) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00459687646059) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.0430036376174 | | 0 |
| epoch 16 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.93919374773) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.940606187915) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.94216377739) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.943639836911) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0113331986083) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000887697829441) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.0388251306434 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0029288030659) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.945072800883) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00136500245209) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00164896442592) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.674531733877) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.678925646421) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.055768748008 | | 0 |
| epoch 18 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0354789912026) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0260763382282) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.658679014927) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.225573517757) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.897145625421) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.897916074213) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.0689145194929 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.902645396634) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-1.6120591106E-5) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.90763287234) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.91086948629) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.914461039418) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0122822565176) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.0580323964882 | | 0 |
| epoch 20 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-6.80080557028E-5) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00100011407166) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.918113674748) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00681730023523) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.920912118254) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00484555772623) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.0539985794555 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.923654057224) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.925894776247) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.007731996854) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.928540132374) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00462147554382) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00146935169987) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.0488910722671 | | 0 |
| epoch 22 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.930861669282) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.932628890531) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00821722894981) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.934774988211) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.936437682408) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.938227802584) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.25930838839 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0100536281966) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000338622658198) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.940058001733) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.625822013215) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.919815678029) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.916887182787) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.251469869382 | | 0 |
| epoch 24 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.919957976797) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.180577742231) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.927795335071) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0361660442992) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.929092771205) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00330767137468) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.0488411251612 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00350826696467) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.93106622396) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.93280149929) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.93480750777) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.936694383661) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0142403034321) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.0435373555165 | | 0 |
| epoch 26 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00136739909387) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00078346661785) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000313093549556) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-1.87270648694E-5) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (2.01784446333E-5) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.938576395377) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.0425965676017 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.939975246608) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00779724888488) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.94165774075) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0040108799116) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.943142533025) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.94437148265) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.0385872185952 | | 0 |
| epoch 28 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00575402310435) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.945838689857) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.946967633845) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.94820304844) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.949380998828) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.950504876103) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.0353719530332 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0125577809947) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00147588752321) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000620729783058) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.951625600649) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.952479759091) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00581310113816) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.0328611401823 | | 0 |
| epoch 30 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.953527773897) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00309908508648) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000868550382298) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000473748192984) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.95449749869) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.955252294069) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0312798483262 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.956125743946) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.956965302457) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00947953651641) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.957758943945) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.958472308094) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00539692437695) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0288048969422 | | 0 |
| epoch 32 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-8.18837191776E-5) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000453031111375) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.95930540605) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.959906622216) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960605123069) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00669073504943) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.0273698430707 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000335405581285) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000448029321698) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961338832118) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.961880474421) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00466557443901) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962548850375) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.0261607934536 | | 0 |
| epoch 34 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00247898963198) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000686794155353) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963173566113) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96366280784) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964234764707) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00581250605017) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0248876284649 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964804199957) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00254992792411) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000583970951695) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00035582552582) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-4.57970527276E-5) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (1.65588979273E-5) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.0244942357033 | | 0 |
| epoch 36 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965359920585) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965795589028) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966301482547) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00573230106823) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.608560386532) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954338002022) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.328626000474 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.951987660215) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.952984492606) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.953951082693) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.954877626308) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955766566533) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.95662018739) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.130531342105 | | 0 |
| epoch 38 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.179626164897) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0543733433474) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.959767691042) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0071750091341) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960030780558) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960657464727) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.027553321805 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00479418763574) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000155924531981) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961401845079) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00268095897215) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000677400108273) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00039059951814) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.026844453143 | | 0 |
| epoch 40 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-4.73639548493E-5) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (1.89333283066E-5) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (8.71178174622E-6) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (7.50396990878E-7) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-5.01839322209E-7) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-1.905099829E-7) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.0268459737607 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962034059813) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00303903597069) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000560504672423) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.96264292859) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963147376401) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00426076434282) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.0256156873881 | | 0 |
| epoch 42 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963774505228) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00235032738087) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000674326275974) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000363350296685) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.964358336851) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00283165215665) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.0248435250616 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964869907867) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965333510967) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965853405646) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966357777132) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966847149148) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967322189616) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0237285553298 | | 0 |
| epoch 44 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0093908237334) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00128909037926) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967782410155) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968164925924) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968602306474) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969027742612) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0220399483976 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00614015301085) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000506261710495) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969464758026) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969804514088) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00333199164076) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000195486141419) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.02104308971 | | 0 |
| epoch 46 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970242269622) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970561547275) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970934785511) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00459381858492) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971309580177) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00207157947922) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0200400544804 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971662947932) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971962120937) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00281966540751) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972326262946) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00170613886981) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.568498183127) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.35474144497 | | 0 |
| epoch 48 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.223112070475) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.036681211803) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962267734631) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962571168119) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0149995217999) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00257298164299) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0260721441785 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963132239511) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00220976727972) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000734918280145) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963728279846) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00258702549015) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000614509168654) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.0252575203324 | | 0 |
| epoch 50 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000366733270561) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-4.61899883252E-5) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.964282062083) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00287054207868) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000520089404148) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000364864853925) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0248751783964 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964821225659) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00278017841207) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000523465684045) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965341110876) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00244402669678) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965827264457) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.023894090436 | | 0 |
| epoch 52 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00193294475152) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000706301659358) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000338273799078) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-3.14471247362E-5) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966338573926) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966749401246) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.0233591496397 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96722709168) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00558008378548) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967700852354) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968106868841) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968545918071) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968972904349) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.0221314103795 | | 0 |
| epoch 54 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00652057674737) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969383329562) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00250557296801) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000425868102117) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969807371168) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00211180792498) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.0210924528133 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000512658448461) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000302235212567) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970191304823) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00234378471376) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00043823710948) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970562991301) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.020646491379 | | 0 |
| epoch 56 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00206010396972) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970912262012) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971227374438) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971583741867) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971931331398) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00533491463933) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0196089695464 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972271662512) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00216238941464) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972603792352) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972883912163) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973199985631) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00391313190927) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.0187236174394 | | 0 |
| epoch 58 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973520926595) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973789970002) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974085061831) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00410682762052) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974381944545) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00184692730633) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.0179183236818 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000414506245399) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000255525375181) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-3.3276121508E-5) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (1.17902370477E-5) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97467385675) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00199407752818) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.0177283405639 | | 0 |
| epoch 60 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97493100702) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975165204939) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975429821158) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0035789680693) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (7.3813279001E-5) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000267122318806) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.0171723583289 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-7.5356885493E-5) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97571436035) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00191239168152) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000349254405539) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000243796961332) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97596127549) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.0169032557424 | | 0 |
| epoch 62 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976168329491) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00289871880288) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-7.64010608519E-5) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976437592008) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00160021308824) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976661615456) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.0163856744686 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00129535596287) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000475514772499) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000227262255489) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976898638325) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977089737265) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0027948584276) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.016031794965 | | 0 |
| epoch 64 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-7.02088881361E-5) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000241841234286) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977340013349) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00173484390286) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97754487588) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00128057591373) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0157317573327 | 1 | 0 |
| epoch 65 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977756437974) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00118906831487) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000463770467008) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977970876416) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0015431661302) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978164704711) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 65 | 0.0153392519848 | | 0 |
| epoch 66 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00121866626198) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000441422353756) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000212263057276) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978372055977) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00168650054772) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978558336832) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 66 | 0.0150657856685 | 1 | 0 |
| epoch 67 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0012271080605) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000425116824536) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000208698950831) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-2.02523971531E-5) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (1.143029207E-5) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978757931541) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 67 | 0.0149520690887 | | 0 |
| epoch 68 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978919995135) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00257018280181) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-6.29511353856E-5) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979130093516) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979286237119) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979469668101) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 68 | 0.0145650278334 | 1 | 0 |
| epoch 69 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979649879965) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00406128363983) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000350882021231) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979836331739) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979983307051) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980154500364) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 69 | 0.0140772226066 | | 0 |
| epoch 70 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00302387560888) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980328355285) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980476486059) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980639290612) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00306004650835) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000125800938584) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 70 | 0.0135685360541 | 1 | 0 |
| epoch 71 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00021209317902) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-6.52083116204E-5) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980813999106) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980945757054) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981100754736) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981253254455) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 71 | 0.0134407552455 | | 0 |
| epoch 72 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981403283317) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00473117330254) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981543261968) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00164388105156) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981691454729) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98181626897) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 72 | 0.0128258356012 | 1 | 0 |
| epoch 73 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00186176191989) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981967800127) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982089538819) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00187660877677) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000130387742011) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000184028986666) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 73 | 0.0125560159712 | | 0 |
| epoch 74 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-3.74165240215E-5) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982242870202) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00138696198486) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000252265028287) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982373829357) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00121217018134) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 74 | 0.0123775915512 | 1 | 0 |
| epoch 75 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000293071718958) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000173172144235) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-2.1579027569E-5) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982503012296) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00136820922087) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982624860484) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 75 | 0.0122271220996 | | 0 |
| epoch 76 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000991151769344) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000341647898137) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982755884177) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00119731101975) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000283408539753) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000169470987414) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 76 | 0.0121060225112 | 1 | 0 |
| epoch 77 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98287951214) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00132042648786) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982995844036) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983102847292) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00169061016172) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000142876479813) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 77 | 0.0118523585644 | | 0 |
| epoch 78 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000172396312549) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-3.33929285983E-5) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983239513262) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983339923994) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00202143278239) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983465071839) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 78 | 0.0116437583742 | 1 | 0 |
| epoch 79 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00107150101008) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983580413432) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000895763036973) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983692698898) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000859285317944) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000338193282437) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 79 | 0.0114504682289 | | 0 |
| epoch 80 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000156673068347) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-1.36795423967E-5) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98380706374) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00126461074497) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000228772316739) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000160649511626) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 80 | 0.0113729696968 | 1 | 0 |
| epoch 81 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-2.34670930872E-5) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983915933822) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984008373372) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00193935947639) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-4.62329715E-5) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000167168745719) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 81 | 0.0112221100149 | | 0 |
| epoch 82 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984129589637) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984219212959) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00187820658315) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-5.47029038362E-5) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000164478750289) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984337367616) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 82 | 0.011045388917 | 1 | 0 |
| epoch 83 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984424645677) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00185393852188) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984534108928) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984624117289) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984724736571) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00230563597672) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 83 | 0.0107287998915 | | 0 |
| epoch 84 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984827367273) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984915141963) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00170856468478) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-7.43182219289E-5) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98502270401) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00100816841507) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 84 | 0.0105285571759 | 1 | 0 |
| epoch 85 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985112515214) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985194055667) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98528730636) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985379391769) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985470320826) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985560115297) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 85 | 0.189845206491 | | 0 |
| epoch 86 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00394134753952) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000528920350827) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000177783453243) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985651100913) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985724209947) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985810860173) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 86 | 0.229844028867 | 1 | 0 |
| epoch 87 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00225020912719) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985898767826) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985974764681) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00160601840394) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98606371014) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986136569802) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 87 | 0.230270656294 | | 0 |
| epoch 88 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986218261466) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986298996793) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.56465744701) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.21936050462) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981522328733) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981025984194) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 88 | 0.0174040009661 | 1 | 0 |
| epoch 89 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981178837869) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0150530388926) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00456806459845) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981439901739) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981549968471) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981695200095) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 89 | 0.0130658079843 | | 0 |
| epoch 90 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00340280974096) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981838896746) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00139145430285) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981980223043) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982100461749) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00179133014473) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 90 | 0.0125533639873 | 1 | 0 |
| epoch 91 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982247514599) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00108312497995) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000331099552211) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000172735817558) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982385231113) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9824958348) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 91 | 0.0123755532564 | | 0 |
| epoch 92 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00211399724828) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-5.42672004423E-5) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000183228494307) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-4.32980390728E-5) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982641067693) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982748806371) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 92 | 0.0121989287967 | 1 | 0 |
| epoch 93 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00209399380357) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-5.05134608502E-5) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000180652267741) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-4.29285190567E-5) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (3.29076590798E-6) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (4.28988065413E-6) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 93 | 0.0120988497496 | | 0 |
| epoch 94 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (8.52107697735E-7) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-1.21642451001E-7) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-9.97956531856E-8) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982889652391) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00132744332702) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983006254481) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 94 | 0.0119603754949 | 1 | 0 |
| epoch 95 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000967137604134) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000334398451142) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000164314571915) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-1.59699203581E-5) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (8.99298610056E-6) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983131187329) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 95 | 0.0118922369178 | | 0 |
| epoch 96 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983233022642) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00202983106417) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983359822286) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983464200646) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983580689346) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983695546646) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 96 | 0.0116685489587 | 1 | 0 |
| epoch 97 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983808791407) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00387955143435) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983915965464) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984018308085) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00207081591189) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984132659792) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 97 | 0.011177342444 | | 0 |
| epoch 98 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00105134311173) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984239016163) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984330428222) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00153411462799) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984443072998) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000941127102087) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 98 | 0.0109305758061 | 1 | 0 |
| epoch 99 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984544560675) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000830314437879) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984643873095) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000806076697605) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000318511204543) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984745443086) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 99 | 0.0107544190492 | | 0 |
| epoch 100 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00105834763533) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000249346638803) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984841776414) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0010429922555) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984933247049) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985016828699) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 100 | 0.0105785458163 | 1 | 0 |
| epoch 101 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985112339734) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00210886188175) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (3.66949583269E-5) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985215278111) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000980902625972) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000252966986959) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 101 | 0.010390212001 | | 0 |
| epoch 102 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000144243567558) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-1.7265973123E-5) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (7.05033214698E-6) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98530657305) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985383696177) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00176334191627) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 102 | 0.0102673204537 | 1 | 0 |
| epoch 103 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-4.36133019366E-5) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985484174232) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985559317149) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985647993468) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00220301250581) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985738318466) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 103 | 0.0100548400843 | | 0 |
| epoch 104 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00100544080618) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000228228241598) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985828011277) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985899200183) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00157561181942) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-7.43394661453E-5) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 104 | 0.0099048490557 | 1 | 0 |
Success in 105 training rounds!