public Web(double[][,] weights)
{
_web = new NeuronLayer[weights.Length];
_web[0] = new NeuronLayer(null, weights[0]);
for (int i = 1; i < weights.Length; i++)
{
_web[i] = new NeuronLayer(_web[i - 1], weights[i]);
}
}
public Web(int[] size)
{
_web = new NeuronLayer[size.Length];
_web[0] = new NeuronLayer(null, size[0], a);
for (int i = 1; i < size.Length; i++)
{
_web[i] = new NeuronLayer(_web[i - 1], size[i]);
}
}
public void SetWeight(double[][,] value)
{
_web = new NeuronLayer[value.Length];
_web[0] = new NeuronLayer(null, 1, a);
for (int i = 1; i < value.Length; i++)
{
_web[i] = new NeuronLayer(_web[i - 1], value[i].GetLength(0), a);
_web[i].SetWeights(value[i]);
}
}
public bool Equalse(NeuronLayer other)
{
bool b = true;
if (_layer.Length != other.Length)
{
return(false);
}
for (int i = 0; i < _layer.Length; i++)
{
b &= _layer[i].Equals(other._layer[i]);
}
return(b);
}
public NeuronLayer(NeuronLayer PLayer, int size)
{
_previousLayer = PLayer;
_layer = new Neuron[size];
for (int i = 0; i < size; i++)
{
if (PLayer != null)
{
_layer[i] = new Neuron(PLayer.Length);
}
else
{
_layer[i] = new Neuron(1);
}
}
}
public NeuronLayer(NeuronLayer PLayer, double[,] weights)
{
_previousLayer = PLayer;
if (weights != null)
{
_layer = new Neuron[weights.GetLength(0)];
for (int i = 0; i < _layer.Length; i++)
{
_layer[i] = new Neuron(weights.GetLength(1));
double[] tmp = new double[weights.GetLength(1)];
for (int j = 0; j < tmp.Length; j++)
{
tmp[j] = weights[i, j];
}
_layer[i].SetWeight(tmp);
}
}
}
