private static void ChangeWeights(ISimpleNetwork network, ISlaveNode neuron, double sigma, double force)
{
var synapses = network.Synapses.Where(x => x.SlaveNode == neuron);
foreach (var synapse in synapses)
{
var masterNodeOutput = synapse.MasterNode.LastCalculatedValue;
synapse.ChangeWeight(force * sigma * masterNodeOutput);
}
}
public NeuronSigma(ISlaveNode neuron, double sigma)
{
Neuron = neuron;
Sigma = sigma;
}
private static double SigmaCalcForOutputLayer(IReadOnlyList <double> expectation, ISlaveNode neuron, IReadOnlyList <double> output, int oIndex)
{
var derivative = GetDerivative(neuron);
return(derivative * (expectation[oIndex] - output[oIndex]));
}
private static double GetDerivative(ISlaveNode neuron)
{
var x = neuron.Summator.LastCalculatedValue;
return(neuron.Function.GetDerivative(x));
}
private static double SigmaCalcForInnerLayers(ISimpleNetwork network, IEnumerable <NeuronSigma> sigmas, ISlaveNode neuron)
{
var derivative = GetDerivative(neuron);
return(derivative * GetChildSigmas(network, sigmas, neuron));
}
