public virtual double[] Compute(double[] input, SigmoidFunction function)
{
for (int i = 0; i < neurons.Length; i++)
{
this.output[i] = neurons[i].Compute(input, function);
}
return(output);
}
public ActivationNetwork(SigmoidFunction function, int inputsCount, params int[] neuronsCount)
{
ActivationFunction = function;
InputsCount = Math.Max(1, inputsCount);
Layers = new ActivationLayer[neuronsCount.Length];
// create each layer
for (int i = 0; i < Layers.Length; i++)
{
Layers[i] = new ActivationLayer(neuronsCount[i], (i == 0) ? inputsCount : neuronsCount[i - 1]);
}
}
public double Compute(double[] input, SigmoidFunction function)
{
if (input.Length != inputsCount)
{
throw new ArgumentException("Wrong length of the input vector.");
}
double sum = 0.0;
for (int i = 0; i < weights.Length; i++)
{
sum += weights[i] * input[i];
}
sum += threshold;
double output = function.Function(sum);
this.output = output;
return(output);
}
