void InitOutputPerceptrons(ANNSaveData savedata)
{
List <Perceptron> lastHiddenLayerPerceptrons = m_hiddenLayers[m_hiddenLayers.Count - 1].hiddenPerceptrons;
for (int i = 0; i < nbOutputPerceptrons; i++)
{
Perceptron perceptron = new Perceptron(this);
for (int j = 0; j < nbHiddenPerceptrons; j++)
{
Perceptron.Input input = new Perceptron.Input();
input.inputPerceptron = lastHiddenLayerPerceptrons[j];
if (savedata != null)
{
input.weight = savedata.hiddenLayerWeights[i].weightList[j];
}
else
{
input.weight = Random.Range(-WeightRange, WeightRange);
}
perceptron.inputs.Add(input);
}
Perceptron.Input biasInput = new Perceptron.Input();
biasInput.inputPerceptron = bias;
if (savedata != null)
{
List <float> weightList = savedata.hiddenLayerWeights[i].weightList;
int lastIndex = weightList.Count - 1;
biasInput.weight = weightList[lastIndex];
}
else
{
biasInput.weight = Random.Range(-WeightRange, WeightRange);
}
perceptron.inputs.Add(biasInput);
m_outputPerceptrons.Add(perceptron);
}
}
void InitHiddenPerceptrons(ANNSaveData savedata)
{
for (int layerIndex = 0; layerIndex < nbHiddenLayers; layerIndex++)
{
int nb;
List <Perceptron> perceptronList;
HiddenLayer layer;
layer.hiddenPerceptrons = new List <Perceptron>();
if (layerIndex == 0)
{
nb = nbInputPerceptrons;
perceptronList = m_inputPerceptrons;
}
else
{
nb = nbHiddenPerceptrons;
perceptronList = m_hiddenLayers[layerIndex - 1].hiddenPerceptrons;
}
for (int i = 0; i < nbHiddenPerceptrons; i++)
{
Perceptron perceptron = new Perceptron(this);
for (int j = 0; j < nb; j++)
{
Perceptron.Input input = new Perceptron.Input();
input.inputPerceptron = perceptronList[j];
if (savedata != null)
{
input.weight = savedata.inputLayerWeights[i].weightList[j];
}
else
{
input.weight = Random.Range(-WeightRange, WeightRange);
}
perceptron.inputs.Add(input);
}
Perceptron.Input biasInput = new Perceptron.Input();
biasInput.inputPerceptron = bias;
if (savedata != null)
{
List <float> weightList = savedata.inputLayerWeights[i].weightList;
int lastIndex = weightList.Count - 1;
biasInput.weight = weightList[lastIndex];
}
else
{
biasInput.weight = Random.Range(-WeightRange, WeightRange);
}
perceptron.inputs.Add(biasInput);
layer.hiddenPerceptrons.Add(perceptron);
m_hiddenLayers.Add(layer);
}
}
}
