public void BuildFromDNA(string dna)
{
string[] parts = dna.Split(new[] { "||" }, StringSplitOptions.None);
int inputCount = int.Parse(parts[0]);
int outputCount = int.Parse(parts[1]);
int depth = 0;
int hiddenNeuronsPerLayer = 0;
if (parts.Length > 2)
{
depth = int.Parse(parts[2]);
}
if (parts.Length > 3)
{
hiddenNeuronsPerLayer = int.Parse(parts[3]);
}
InputLayer = new NeuronsLayer(0, inputCount);
InputLayer.BuildDendrites(1, 1);
HiddenLayers = Enumerable.Range(1, depth).Select(i => new NeuronsLayer(i, hiddenNeuronsPerLayer)).ToList();
OutputLayer = new NeuronsLayer(1 + depth, outputCount);
HiddenLayers.ForEach(h => h.BuildDendrites(h == HiddenLayers.First() ? inputCount : hiddenNeuronsPerLayer, 0));
OutputLayer.BuildDendrites(hiddenNeuronsPerLayer, 0);
if (parts.Length > 4)
{
int weightCounter = 4;
foreach (NeuronsLayer nl in HiddenLayers)
{
foreach (Neuron n in nl.Neurons)
{
foreach (Dendrite d in n.Dendrites)
{
d.Weight = double.Parse(parts[weightCounter++]);
}
}
}
foreach (Neuron n in OutputLayer.Neurons)
{
foreach (Dendrite d in n.Dendrites)
{
d.Weight = double.Parse(parts[weightCounter++]);
}
}
}
AllLayers = new List <NeuronsLayer>();
AllLayers.Add(InputLayer);
AllLayers.AddRange(HiddenLayers);
AllLayers.Add(OutputLayer);
}
private void Generate()
{
if (HiddenLayers.Count != 0)
{
HiddenLayers.First().Connect(InputLayer.Neurons, true);
OutputLayer.Connect(HiddenLayers.Last().Neurons, true);
if (HiddenLayers.Count > 1)
{
for (int i = 0; i < HiddenLayers.Count - 1; i++)
{
HiddenLayers[i + 1].Connect(HiddenLayers[i].Neurons, true);
}
}
}
}
