public Connection(Neurone a, Neurone b, double weight)
{
Dendrite = a;
Axon = b;
Weight = weight;
}
public void MeshWithNextLayer()
{
int index = 0;
for (int i = 0; i < Neurones.Length; i++)
{
Neurone current = Neurones[i];
for (int j = 0; j < NextLayer.Neurones.Length; j++)
{
var weight = Extension.Random.Next(-1000, 1000) * 0.001;
if (Parent != null)
{
weight = _ParentWeights[index++];
}
current.Connections.Add(new Connection(current, NextLayer.Neurones[j], weight));
DNA.AddWeight(weight);
}
}
}
public Layer(int n, IActivation f, DNA parent = null)
{
NeuroneCount = n;
ActivationFunction = f;
Neurones = new Neurone[n];
Parent = parent;
Bias = Extension.Random.Next(-1000, 1000) * 0.001;
if (parent != null)
{
Bias = parent.GetBias();
_ParentWeights = parent.ToWeights();
}
DNA = new DNA(Bias);
for (int i = 0; i < Neurones.Length; i++)
{
Neurones[i] = new Neurone(f, Bias);
}
}