public override void SetSinapses()
{
Sinaps s;
for (int i = 0; i < NeuronGroups[0].Neurons.Count; i++)
{
NeuronGroups[0].Neurons[i].sinapses.Clear();
for (int j = 0; j < InputsCount; j++)
{
s = new Sinaps(Inputs[j]);
s.value = (float)(1.0 / Math.Sqrt(InputsCount));
NeuronGroups[0].Neurons[i].sinapses.Add(s);
}
}
}
public virtual void SetSinapses()
{
if (!AccessChangeNet)
{
return;
}
Sinaps curr;
for (int i = 0; i < NeuronGroups.Count; i++)
{
for (int j = 0; j < NeuronGroups[i].Neurons.Count; j++)
{
NeuronGroups[i].Neurons[j].aksons.Clear();
}
}
for (int i = 0; i < NeuronGroups[0].Neurons.Count; i++)
{
NeuronGroups[0].Neurons[i].sinapses.Clear();
for (int j = 0; j < inputs.Count; j++)
{
NeuronGroups[0].Neurons[i].sinapses.Add(new Sinaps(inputs[j]));
}
}
for (int i = 1; i < NeuronGroups.Count; i++)
{
for (int j = 0; j < NeuronGroups[i].Neurons.Count; j++)
{
NeuronGroups[i].Neurons[j].sinapses.Clear();
for (int k = 0; k < NeuronGroups[i - 1].Neurons.Count; k++)
{
NeuronGroups[i].Neurons[j].sinapses.Add(curr = new Sinaps(NeuronGroups[i - 1].Neurons[k]));
NeuronGroups[i - 1].Neurons[k].aksons.Add(curr);
}
}
}
//Calculate();
}
public float dNETdw(Sinaps sinaps)
{
return(sinaps.frominput == null ? sinaps.fromNeuron.OUT : sinaps.frominput.value);
}
