private void fillLayer(Neuron[] layer, int inputs, Neuron.NeuronTypes type, double[][] weights, double alfa)
{
for (int i = 0; i < layer.Length; i++)
{
layer[i] = new Neuron(type, alfa, -1);
for (int j = 0; j < inputs; j++)
{
Synapse s = new Synapse(layer[i]);
s.setWeight(weights[i][j]);
layer[i].synapses.Add(s);
}
Synapse biasSynapse = new Synapse(layer[i]);
biasSynapse.setWeight(weights[i][inputs]);
layer[i].synapses.Add(biasSynapse);
}
}
private void fillNonInputLayer(Neuron[] previousLayer, Neuron[] layer, int inputs, Neuron.NeuronTypes type, double alfa)
{
for (int i = 0; i < layer.Length; i++)
{
layer[i] = new Neuron(type, alfa, -1);
for (int j = 0; j < inputs; j++)
{
Synapse s = new Synapse(previousLayer[j], layer[i]);
s.setWeight(generateSynapseWeight(previousLayer, inputs));
layer[i].synapses.Add(s);
}
Synapse biasSynapse = new Synapse(layer[i]);
biasSynapse.setWeight(1);
layer[i].synapses.Add(biasSynapse);
}
}