public double CalculateOutputValue(List <RadialNeuron> radialNeurons)
{
double sum = 0;
for (int i = 0; i < Weights.Count; i++)
{
sum += Weights[i] * radialNeurons[i].OutputValue;
}
sum += BiasWeight;
OutputValue = LinearFunction.F(sum);
return(OutputValue);
}
public double CalculateGradient(double expectedDataSample)
{
Gradient = CalculateError(expectedDataSample) * LinearFunction.Derivative() * 1.0;
return(Gradient);
}