// Apply any deltas that were calculated during back-propogation.
// The input signals and the bias are all checked for deltas to be applied
public void ApplyLearning()
{
foreach (KeyValuePair <NeuronSignal, NeuralFactor> m in InputSignals)
{
m.Value.ApplyWeightChange();
}
Bias.ApplyWeightChange();
}
public void ApplyLearning(ref double learningRate)
{
foreach (var m in Input)
{
m.Value.ApplyWeightChange(ref learningRate);
}
Bias.ApplyWeightChange(ref learningRate);
}
/// <summary>
/// Apply delta that is calculated in back prop
/// </summary>
public void ApplyLearning()
{
foreach (var m in InputSignals)//Apply weight change
{
m.Value.ApplyWeightChange();
}
// Bias for shifting activation function val
Bias.ApplyWeightChange();
}
