public RBFNeuroSystem(int first, int second)
{
Neurons = new object[2][];
Neurons[0] = new RBFNeuron[first];
Neurons[1] = new Neuro[second];
for (int i = 0; i < first; i++)
{
Neurons[0][i] = new RBFNeuron();
}
for (int i = 0; i < second; i++)
{
Neurons[1][i] = new Neuro(first);
}
}
public NeuroSystem(int[] levels, int input)
{
//this.levels = new int[] { 5, 2, 1 };
this.levels = levels;
neurons = new Neuro[levels.Length][];
for (int i = 0; i < levels.Length; i++)
{
neurons[i] = new Neuro[levels[i]];
for (int j = 0; j < levels[i]; j++)
{
neurons[i][j] = new Neuro();
}
}
for (int i = levels.Length - 1; i >= 1; i--)
{
for (int j = 0; j < levels[i]; j++)
{
neurons[i][j].n = levels[i - 1];
neurons[i][j].X = new double[levels[i - 1]];
neurons[i][j].W = new double[levels[i - 1]];
//neurons[i][j].Alpha = 1.0;
for (int k = 0; k < neurons[i][j].W.Length; k++)
{
neurons[i][j].W[k] = random.NextDouble();
}
}
}
for (int j = 0; j < levels[0]; j++)
{
neurons[0][j].n = input;
neurons[0][j].X = new double[input];
neurons[0][j].W = new double[input];
//neurons[0][j].Alpha = 1.0;
for (int k = 0; k < neurons[0][j].W.Length; k++)
{
neurons[0][j].W[k] = random.NextDouble();
}
}
}
