public void Initialize(int m_HiddenLayers, ThoughtProcess thoughtProcess)
{
this.thoughtProcess = thoughtProcess;
thoughtProcessStringed = thoughtProcess.GetThoughtAsString();
hiddenLayers = new NeuralNetworkNode[m_HiddenLayers];
for (int i = 0; i < m_HiddenLayers; i++)
{
hiddenLayers[i] = new NeuralNetworkNode();
}
foreach (var layer in hiddenLayers)
{
layer.SetBias(thoughtProcess.GetNext());
for (int i = 0; i < inputLayer.Length; i++)
{
layer.ConnectTo(inputLayer[i], thoughtProcess.GetNext());
}
}
foreach (var layer in outputLayer)
{
layer.SetBias(thoughtProcess.GetNext());
for (int i = 0; i < hiddenLayers.Length; i++)
{
layer.ConnectTo(hiddenLayers[i], thoughtProcess.GetNext());
}
}
if (!thoughtProcess.HasNoNext())
{
Debug.LogWarning("INputnodes, hidden nodes, or output node amount is wrong, is at " + thoughtProcess.GetCurrentIndex() + " but expected " + thoughtProcess.biasAndWeights.Length);
}
}
