public void Learn(double difference, double learningRate, double momentum)
{
if (Type == NeuronType.Input)
{
return;
}
var prevDelta = BiasDelta;
BiasDelta = learningRate * Gradient;
Bias += BiasDelta + momentum * prevDelta;
Gradient = difference * Function.Derivation(Output);
for (var i = 0; i < Weights.Count; i++)
{
prevDelta = WeightsDelta[i];
var input = Inputs[i];
WeightsDelta[i] = input * Gradient * learningRate;
Weights[i] += WeightsDelta[i] + momentum * prevDelta;
}
}
