public BpNeuron(int Layer, int NeuronNumber, NeuronClass NeuronType, ArtificialNetwork AINetwork)
{
this.Location = new Vector2(Layer, NeuronNumber);
this.NeuronType = NeuronType;
this.Bias = NeuralFunctions.NextDouble(MIN, MAX);
this.AINetwork = AINetwork;
}
public const double MAX = 1; //.6 for squash
public void SetupNetwork(int NumberOfInputs, int NumberOfOutputs, List <double> Inputs)
{
if (this.Weights == null)
{
this.Weights = new List <List <double> >();
}
if (this.Neurons == null)
{
this.Neurons = new List <List <BpNeuron> >();
}
for (int i = 0; i <= this.HiddenLayers + 1; i++)
{
//input layer
if (i == 0)
{
// add weights
List <double> Weights = new List <double>();
Program.WriteLine("# of inputs: " + NumberOfInputs);
Program.WriteLine("# of NPL" + this.NeuronsPerLayer);
for (int x = 0; x < NumberOfInputs; x++)
{
for (int y = 0; y < this.NeuronsPerLayer; y++)
{
Weights.Add(NeuralFunctions.NextDouble(MIN, MAX));
}
}
Program.WriteLine("SizeOf Weights: " + Weights.Count);
this.Weights.Add(Weights);
}
//output layer
else if (i == this.HiddenLayers + 1)
{
//Add output neurons to final layer
List <BpNeuron> NeuronLayer = new List <BpNeuron>();
for (int y = 0; y < NumberOfOutputs; y++)
{
NeuronLayer.Add(new BpNeuron(i, y, NeuronClass.OUTPUT, this));
}
this.Neurons.Add(NeuronLayer);
}
//hidden layer
else
{
//Add neurons to layer
List <BpNeuron> NeuronLayer = new List <BpNeuron>();
for (int y = 0; y < this.NeuronsPerLayer; y++)
{
NeuronLayer.Add(new BpNeuron(i, y, NeuronClass.HIDDEN, this));
}
this.Neurons.Add(NeuronLayer);
//add weights inbound to next layer
if (i < this.HiddenLayers)
{
List <double> Weights = new List <double>();
for (int x = 0; x < this.NeuronsPerLayer; x++)
{
for (int y = 0; y < this.NeuronsPerLayer; y++)
{
Weights.Add(NeuralFunctions.NextDouble(MIN, MAX));
}
}
this.Weights.Add(Weights);
}
else
{
List <double> Weights = new List <double>();
for (int x = 0; x < this.NeuronsPerLayer; x++)
{
for (int y = 0; y < NumberOfOutputs; y++)
{
Weights.Add(NeuralFunctions.NextDouble(MIN, MAX));
}
}
this.Weights.Add(Weights);
}
}
}
//finally, add input neurons to the END of the array
List <BpNeuron> InputNeurons = new List <BpNeuron>();
for (int i = 0; i < NumberOfInputs; i++)
{
InputNeurons.Add(new BpNeuron(0, i, NeuronClass.INPUT, this));
InputNeurons[i].InputNeuronInput = Inputs[i];
}
this.Neurons.Add(InputNeurons);
}