public void LoadGenome(Genome genome)
{
this.genome = genome;
for (var i = 0; i < genome.NumInputNeurons; i++)
{
InputNeurons.Add(new Neuron("input" + i));
}
var weightIndex = 0;
var previousLayer = new List <Neuron>();
for (var layerId = 0; layerId < genome.NumHiddenLayers; layerId++)
{
var hiddenLayer = new List <Neuron>();
previousLayer = GetPreviousLayer(layerId);
SetupLayer(hiddenLayer, genome.NumNeuronsPerHiddenLayer, previousLayer, "hl" + layerId + "n", ref weightIndex, genome);
hiddenLayers.Add(hiddenLayer);
}
previousLayer = hiddenLayers[hiddenLayers.Count - 1];
SetupLayer(OutputNeurons, genome.NumOutputNeurons, previousLayer, "output", ref weightIndex, genome);
}
public void AddInputNeuronAndMesh(InputNeuron neuron)
{
InputNeurons.Add(neuron);
foreach (WorkingNeuron wn in FirstHiddenLayer)
{
wn.AddNeuronConnection(new Connection(neuron, 0));
}
}
private void Initialize(int inputs, int outputs)
{
var random = new Random();
for (int i = 0; i < inputs; i++)
{
InputNeurons.Add(new Neuron());
}
for (int i = 0; i < outputs; i++)
{
var dentrites = new List <Synapse>();
foreach (var input in InputNeurons)
{
dentrites.Add(new Synapse()
{
Neuron = input, Weight = (random.NextDouble() - 0.5) * 0.01
});
}
OutputNeurons.Add(new Neuron()
{
Dendrites = dentrites
});
}
}
public void AddInputNeuron(InputNeuron neuron)
{
InputNeurons.Add(neuron);
}
