public override Vector <double> CalculateOutput(Vector <double> signal)
{
LastSignal = signal;
LastOutput = IncomingWeights.Multiply(signal); // weighted input
if (HasBias)
{
LastOutput = LastOutput.Add(BiasWeights); // weighted input with bias
}
LastOutput.MapInplace(Activation.Calc); // neuron activations (neuron outputs)
return(LastOutput.Clone());
}
public void ImproveWeights(double learningFactor, double momentum)
{
var output = LastOutput.Clone();
output.MapInplace(Activation.CalcDerivative);
var learningErrorOutput = learningFactor * Vector.op_DotMultiply(output, Error);
var modification = learningErrorOutput.OuterProduct(LastSignal);
IncomingWeights += modification + (LastWeightsModification * momentum);
if (HasBias)
{
BiasWeights += learningErrorOutput + (LastBiasWeightsModification * momentum);
}
LastWeightsModification = modification;
LastBiasWeightsModification = learningErrorOutput;
}
public override Vector <double> CalculateOutput(Vector <double> signal)
{
LastOutput = signal.Map(Activation.Calc);
return(LastOutput.Clone());
}
