private static void SetRandomNeuronWeights(Layer layer)
{
var random = RandomHolder.Random;
foreach (var neuron in layer.Neurons)
{
for (int i = 0; i < neuron.Weights.Count; i++)
{
neuron.Weights[i] = random.NextDouble(-4, 4);
}
neuron.Bias = random.NextDouble(-4, 4);
}
}
public Network(int inputsCount, int hiddenLayerNeuronCount, int outputLayerNeuronCount)
{
HiddenLayer = new Layer(inputsCount, hiddenLayerNeuronCount);
OutputLayer = new Layer(hiddenLayerNeuronCount, outputLayerNeuronCount);
}
private static IEnumerable<double> GetLayerGenotype(Layer layer)
{
return layer.Neurons.SelectMany(n => n.Weights.Concat(new[] { n.Bias }));
}
