//Constructor
public AxonLayer(NeuronLayer previousneuronlayer, NeuronLayer nextneuronlayer)
{
this.previousneuronlayer = previousneuronlayer;
this.nextneuronlayer = nextneuronlayer;
this.weights = Matrix.Random(nextneuronlayer.nbneurons, previousneuronlayer.nbneurons, 1.0 / Math.Sqrt(previousneuronlayer.nbneurons));
this.weightsupdate = new Matrix(nextneuronlayer.nbneurons, previousneuronlayer.nbneurons);
}
//constructor for the other layers (builds all the links with the previous layer)
public NeuronLayer(int nbneurons, NeuronLayer previousneuronlayer)
{
neuron_activation = new Vector(nbneurons);
neuron_bias = Vector.Random(nbneurons, 1);
this.biasupdate = new Vector(nbneurons);
this.nbneurons = nbneurons;
this.previousneuronlayer = previousneuronlayer;
previousneuronlayer.nextneuronlayer = this;
AxonLayer axonlayer = new AxonLayer(this.previousneuronlayer, this);
this.previousaxonlayer = axonlayer;
previousneuronlayer.nextaxonlayer = axonlayer;
}
//Construct the network
public Brain(Parameters parameters)
{
NeuronLayer.parameters = parameters;
AxonLayer.parameters = parameters;
int[] layerssize = parameters.layers_size;
nblayers = layerssize.Length;
layers = new NeuronLayer[nblayers];
layers[0] = new NeuronLayer(layerssize[0]);
for (int i = 1; i < layerssize.Length; i++)
{
layers[i] = new NeuronLayer(layerssize[i], layers[i - 1]);
}
}
