public void SetIncomingWeights(List <double[]> weights)
{
for (int i = 0; i < weights.Count; i++)
{
IncomingWeights.SetRow(i, weights[i]);
}
}
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 SetIncomingWeightsForNeuron(int neuronIndex, double[] weights)
{
IncomingWeights.SetRow(neuronIndex, weights);
}
private void RandomizeConnectionWeights(double maxAbsValue)
{
IncomingWeights.MapInplace(x => MathHelper.RandomExceptZero(maxAbsValue));
}
private void SetConnectionWeights(double value)
{
IncomingWeights.MapInplace(x => value);
}
