public SpikingNetwork(int InputCount, int OutputCount, int Layers, int NeuronAmount, int SynapsAmount)
{
Inputs = new float[InputCount];
Outputs = new float[OutputCount];
Neurons = new Neuron[Layers + 2][];
Neurons[0] = new Neuron[InputCount];
Neurons[Layers + 1] = new Neuron[OutputCount];
for (int i = 0; i < Layers; i++)
{
Neurons[i + 1] = new Neuron[NeuronAmount];
}
for (int i = 0; i < Layers + 2; i++)
{
for (int j = 0; j < Neurons[i].Length; j++)
{
Neurons[i][j] = new Neuron(Form1.Rand.Next(3, 7));
if (i < Neurons.Length - 1)
{
for (int k = 0; k < Neurons[i + 1].Length; k++)
{
if (Form1.Rand.NextDouble() > 0.1)
{
Synaps S = new Synaps(k, SynapsDir.Forward);
Neurons[i][j].Synapses.Add(S);
}
}
}
if (i > 0)
{
for (int k = 0; k < Neurons[i - 1].Length; k++)
{
if (Form1.Rand.NextDouble() > 0.01)
{
Synaps S = new Synaps(k, SynapsDir.Backward);
Neurons[i][j].Synapses.Add(S);
}
}
}
}
}
/*for (int i = 0; i < SynapsAmount; i++)
* {
* int Layer = Form1.Rand.Next(Neurons.Length);
* SynapsDir Dir = (Form1.Rand.NextDouble()>0.25||Layer==0)&& Layer !=Layers+1? SynapsDir.Forward : SynapsDir.Backward;
* if(Dir== SynapsDir.Forward)
* {
* Synaps S = new Synaps(Form1.Rand.Next(Neurons[Layer + 1].Length), Dir, Lerp(-0.2f, 0.75f, (float)Form1.Rand.NextDouble()), Form1.Rand.Next(2, 5));
* Neurons[Layer][Form1.Rand.Next(Neurons[Layer].Length)].Synapses.Add(S);
* }else
* {
* Synaps S = new Synaps(Form1.Rand.Next(Neurons[Layer - 1].Length), Dir, Lerp(-0.2f, 0.75f, (float)Form1.Rand.NextDouble()), Form1.Rand.Next(2, 5));
* Neurons[Layer][Form1.Rand.Next(Neurons[Layer].Length)].Synapses.Add(S);
* }
* }*/
}
int SynapsExist(int Layer, int Source, int Target, SynapsDir Dir)
{
for (int i = 0; i < Neurons[Layer][Source].Synapses.Count; i++)
{
Synaps S = Neurons[Layer][Source].Synapses[i];
if (S.Dir == Dir && S.Id == Target)
{
return(i);
}
}
return(-1);
}
