private static void MutateNeuronAddRandom(Ann ann)
{
int[] layers = ann.GetHiddenLayers();
int layer = layers.Length != 0 ? layers[Util.rand.Next(layers.Length)] : 0;
int[] neuronPositions = ann.GetNeuronsForLayer(layer).Select(x => x.NeuronPosition).ToArray();
int neuronId = 0;
bool keepSearching = true;
while (keepSearching)
{
if (neuronPositions.Contains(neuronId))
{
neuronId++;
}
else
{
keepSearching = false;
}
}
if (!HelperDoesNeuronExist(ann, layer, neuronId))
{
ann.hiddenNeurons.Add(new Neuron(layer, neuronId));
}
}
private static void MutateSynapseFromNeuron(Ann ann)
{
if (HelperCountSynapses(ann) == 0)
{
return;
}
Neuron synapseNeuron = ann.GetAllNeurons()[Util.rand.Next(ann.GetAllNeurons().Count)];
if (synapseNeuron.synapses.Count == 0)
{
return;
}
Synapse synapse = synapseNeuron.synapses[Util.rand.Next(synapseNeuron.synapses.Count)];
int fromLayer = synapse.FromLayer;
Neuron[] neuronsInLayer = ann.GetNeuronsForLayer(fromLayer);
Neuron neuron = neuronsInLayer.Length != 0 ? neuronsInLayer[Util.rand.Next(neuronsInLayer.Length)] : null;
int newNeuronPosition = neuron != null ? neuron.NeuronPosition : 0;
if (!HelperDoesSynapseExist(ann, synapse.FromLayer, newNeuronPosition))
{
synapse.FromNeuron = newNeuronPosition;
}
}
private static void MutateSynapseAddRandom(Ann ann)
{
if (ann.hiddenNeurons.Count == 0)
{
return;
}
int[] layers = ann.GetAllLayers();
int fromLayer = layers.Length != 0 ? layers[Util.rand.Next(layers.Length)] : 0;
int[] fromNeuronPositions = ann.GetNeuronsForLayer(fromLayer).Select(x => x.NeuronPosition).ToArray();
int fromNeuron = fromNeuronPositions[Util.rand.Next(fromNeuronPositions.Length)];
Neuron synapseNeuron = ann.GetAllNeurons()[Util.rand.Next(ann.GetAllNeurons().Count)];
if (!HelperDoesSynapseExist(ann, fromLayer, fromNeuron))
{
synapseNeuron.synapses.Add(new Synapse(fromLayer, fromNeuron));
}
}
