public static Dendrite Copy(Dendrite input)
{
Neuron neuron;
var inputNeuron = input.Neuron as Input;
if (inputNeuron != null)
{
neuron = Input.Copy(inputNeuron);
}
else
{
neuron = Dynamic.Copy((Dynamic)input.Neuron);
}
Dendrite output = new Dendrite(neuron, input.Weight);
return(output);
}
/**
* reweight
* Sets the weight of the given dendrite based on its error.
* @param dendrite (Dendrite) to be reweighted
* @param error (double)
*/
private void Reweight(Dendrite dendrite, double error, NeuralPathway path = null)
{
var weight = dendrite.Weight + LearningRate * error * Derivative(GetOutput(path)) * dendrite.Neuron.GetOutput(path);
dendrite.Weight = weight;
}
public static Dynamic Copy(Dynamic input)
{
return(new Dynamic(Dendrite.Copy(input.Dendrites), input.Name, input.Threshold));
}
public static Input Copy(Input input)
{
return(new Input(Dendrite.Copy(input.Dendrites), input.Name, input.Threshold, input.Value));
}
