public NeuralNetwork(int inputLayerNeuronsCount, int hiddenLayerNeuronsCount, int outputLayerNeuronsCount)
{
//System.Diagnostics.Debugger.Break();
neuronLayers[0] = new NeuronLayer(inputLayerNeuronsCount);
neuronLayers[1] = new NeuronLayer(hiddenLayerNeuronsCount, InputLayer);
neuronLayers[2] = new NeuronLayer(outputLayerNeuronsCount, HiddenLayer);
NeuronLayers = Array.AsReadOnly(neuronLayers);
}
public NeuronLayer(int size, NeuronLayer activatorsLayer = null)
{
Neurons = new Neuron[size];
Bias = new Bias();
var random = new Random();
for (int i = 0; i < size; i++)
{
var neuron = new Neuron();
if (activatorsLayer != null)
{
foreach (var activator in activatorsLayer.Neurons)
{
neuron.AddActivator(activator, random.NextNormalizedDouble());
}
neuron.AddActivator(activatorsLayer.Bias, random.NextNormalizedDouble());
}
Neurons[i] = neuron;
}
}
