public void AddLayer(int length, Random rnd, double minWeight, double maxWeight, double minBias, double maxBias)
{
net.Add(new Neiron[length]);
for (int i = 0; i < length; i++)
{
Neiron neiron;
if (net.Count == 1)
{
neiron = new Neiron(new LinearActivationFunction(1, 0));
}
else
{
double[] d = new double[net[net.Count - 2].Length];
d = d.Select(_ => Neiron.GenerateRandom(rnd, minWeight, maxWeight)).ToArray();
Neiron[] n = net[net.Count - 2];
neiron = new BasicNeiron(new SigmoidActivationFunction(4), ref n, d, Neiron.GenerateRandom(rnd, minBias, maxBias));
}
net.Last()[i] = neiron;
neirons.Add(neiron);
}
}
public void AddNeiron(Neiron neiron)
{
neirons.Add(neiron);
}
public Link(Neiron fromNeiron, Neiron toNeiron, double weight)
{
this.fromNeiron = fromNeiron;
this.toNeiron = toNeiron;
this.weight = weight;
}