UpdateNeural(CNeuralNet neuralNet)
{
this.neuralNet = neuralNet;
neurons.Clear();
AddLayers();
List <SNeuron> neuronsToAdd = new List <SNeuron>();
for (int i = 0; i < layers.Count; i++)
{
float splitY = layers.ElementAt(i).Key;
Transform parentLayer = layers[splitY].transform;
neuronsToAdd.Clear();
// select all neurons with the same splitY value
for (int j = 0; j < neuralNet.Neurons().Count; j++)
{
SNeuron neuron = neuralNet.Neurons()[j];
if (neuron.splitY != splitY)
{
continue;
}
neuronsToAdd.Add(neuron);
}
// sort by splitX values
neuronsToAdd.Sort(delegate(SNeuron a, SNeuron b) {
return(a.splitX.CompareTo(b.splitX));
});
for (int j = 0; j < neuronsToAdd.Count; j++)
{
SNeuron neuron = neuronsToAdd[j];
if (neurons.ContainsKey(neuron.neuronID))
{
Debug.LogWarning("a neuron with id " + neuron.neuronID + " already exists!");
continue;
}
NeuronRenderer neuronRenderer = Instantiate(neuronPrefab, parentLayer).GetComponent <NeuronRenderer>();
neuronRenderer.neuron = neuron;
neurons.Add(neuron.neuronID, neuronRenderer);
}
}
}
CreatePhenotype(int depth)
{
// Delete previous phenotype assigned to this genome.
DeletePhenotype();
List <SNeuron> neurons = new List <SNeuron> ();
// Add the neuron genes to the phenotype neurons.
for (int i = 0; i < m_vecNeurons.Count; i++)
{
SNeuronGene neuron = m_vecNeurons[i];
neurons.Add(new SNeuron(neuron.Type,
neuron.ID,
neuron.SplitY,
neuron.SplitX,
neuron.ActivationResponse));
}
// Create the links for the phenotype.
for (int i = 0; i < m_vecLinks.Count; i++)
{
SLinkGene link = m_vecLinks[i];
// Ignore the disabled links
if (link.Enabled)
{
SNeuron fromNeuron = neurons[GetNeuronIndexById(link.FromNeuron)];
SNeuron toNeuron = neurons[GetNeuronIndexById(link.ToNeuron)];
SLink newLink = new SLink(link.Weight, fromNeuron, toNeuron, link.IsRecurrent);
fromNeuron.linksFrom.Add(newLink);
toNeuron.linksTo.Add(newLink);
}
}
m_Phenotype = new CNeuralNet(neurons, depth);
return(m_Phenotype);
}
