Detected output type Binary
Backpropagation algorithm Back propagation
Activation function Sigmoid
Momentum 0.95
Learning rate 0.3
Network error 0
Output error tolerance +/- 0.02
Total loops 1,184 loops
Total trainings 681 trainings
Total activations 1,196 activations
Total activation requests 1,877 activation requests
Epoch 4 loops
Training time 2 seconds = 0 minutes
Loops / second 592 loops / second
Training finished Yes

Input
Layer
2 Inputs
Hidden
Layer
1

Inputs
2 + BIAS

Delta
-0.0506

Weights
1.6733918
2.2121483
-0.11212534

Inputs
2 + BIAS

Delta
-0.028794

Weights
0.82291865
-0.50487344
1.2219424

Inputs
2 + BIAS

Delta
-0.036295

Weights
-0.38247157
-0.44428177
0.82474042

Inputs
2 + BIAS

Delta
-0.023459

Weights
-0.034346238
-1.2534745
0.12721712

Hidden
Layer
2

Inputs
4 + BIAS

Delta
-0.048475

Weights
1.4673316
-2.3897311
1.8623402
1.5242286
-1.7836527

Inputs
4 + BIAS

Delta
-0.071969

Weights
2.0547129
1.272266
-1.1309798
-2.1410908
0.83411459

Inputs
4 + BIAS

Delta
-0.009463

Weights
-0.89519706
-1.8656874
-0.59235609
-0.88669155
-0.31693055

Inputs
4 + BIAS

Delta
0.0016

Weights
-0.1683597
0.7770235
-0.4957282
-1.803104
-1.1577829

Output
Layer

Inputs
4 + BIAS

Delta
-0.125606

Weights
1.8175155
1.1587094
-1.2062493
-2.0010308
-1.2752545

     
1 Outputs

Input Output
 f(0, 0) =  0
 f(0, 1) =  1
 f(1, 0) =  1
 f(1, 1) =  0