Success in 839 training rounds!

Testset 0; expected output = (-1) output from neural network = (-0.990302695447)

Testset 1; expected output = (1) output from neural network = (0.990238673183)

Testset 2; expected output = (1) output from neural network = (0.990484225235)

Testset 3; expected output = (-1) output from neural network = (-0.989176317993)

The following is to show how changing the momentum & learning rate, in combination with the number of rounds and the maximum allowable error, can lead to wildly differing results. To obtain the best results for your situation, play around with these numbers until you find the one that works best for you.

The values displayed here are chosen randomly, so you can reload the page to see another set of values...

Success in 1830 training rounds!

Testset 0; expected output = (-1) output from neural network = (-0.998938459606)

Testset 1; expected output = (1) output from neural network = (0.999129391127)

Testset 2; expected output = (1) output from neural network = (0.998855534982)

Testset 3; expected output = (-1) output from neural network = (-0.999107049518)

Round 2: No success...

Testset 0; expected output = (-1) output from neural network = (-0.990427253302)

Testset 1; expected output = (1) output from neural network = (0.990019656929)

Testset 2; expected output = (1) output from neural network = (0.992389039886)

Testset 3; expected output = (-1) output from neural network = (-0.987858824455)

Testset 0; expected output = (-1) output from neural network = (-0.990024377582)

Testset 1; expected output = (1) output from neural network = (0.99407812288)

Testset 2; expected output = (1) output from neural network = (0.987848508414)

Testset 3; expected output = (-1) output from neural network = (-0.989178121656)

Round 2: No success...

Success in 17 training rounds!

Testset 0; expected output = (-1) output from neural network = (-0.970345932097)

Testset 1; expected output = (1) output from neural network = (0.922368292233)

Testset 2; expected output = (1) output from neural network = (0.945922103577)

Testset 3; expected output = (-1) output from neural network = (-0.950765790386)

Round 2: No success...

Testset 0; expected output = (-1) output from neural network = (-0.982409923467)

Testset 1; expected output = (1) output from neural network = (0.931971801717)

Testset 2; expected output = (1) output from neural network = (0.989506132469)

Testset 3; expected output = (-1) output from neural network = (-0.984725038909)

Testset 0; expected output = (-1) output from neural network = (-0.998747361422)

Testset 1; expected output = (1) output from neural network = (0.999178195311)

Testset 2; expected output = (1) output from neural network = (0.999178195312)

Testset 3; expected output = (-1) output from neural network = (-0.998962754572)

Round 2: No success...