public Layer(int inputs, int outputs, INeuron baseNeuron, WeightInitializer weightInitializer)
{
this.inputs = inputs;
this.outputs = outputs;
this.weightInitializer = weightInitializer;
InitializeNeurons(baseNeuron);
ReinitializeWeights();
}
public SOMNetwork(INeuron baseNeuron, int inputs, int outputs, int maxEpoch)
{
this.inputs = inputs;
this.outputs = outputs;
this.weightInitializer = new WeightInitializer(0, 1);
this.maxEpoch = maxEpoch;
InitializeNeurons(baseNeuron);
ReinitializeWeights();
}
private void CreateLayers(INeuron baseNeuron, int inputs, int outputs, WeightInitializer weightInitializer, int hiddenNeurons)//TODO multi hidden layer support
{
layers = new List <Layer>();
if (hiddenNeurons > 0)
{
layers.Add(new Layer(inputs, hiddenNeurons, baseNeuron, weightInitializer));
layers.Add(new Layer(hiddenNeurons, outputs, baseNeuron, weightInitializer));
}
else
{
layers.Add(new Layer(inputs, outputs, baseNeuron, weightInitializer));
}
}
public NeuralNetwork(INeuron baseNeuron, int inputs, int outputs, WeightInitializer weightInitializer, int hiddenNeurons)
{
CreateLayers(baseNeuron, inputs, outputs, weightInitializer, hiddenNeurons);
}
