예제 #1
0
 public void propagate(Neuron neuron, double expected, double beta, double learningFactor, double inputDifference = 0)
 {
     neuron.setWeightsCorrections(expected, beta, learningFactor, inputDifference);
     if (neuron.layerNumber == 0)
     {
         return;
     }
     for (int i = 0; i < neuron.inputs.Count - 1; i++)
     {
         this.propagate(this.getNeuron(neuron.layerNumber - 1, i), expected, beta, learningFactor, neuron.inputDifferences[i]);
     }
 }