public static PerceptronInfo CreateClassicPerceptron(double minWeight, double maxWeight, params int[] net)
{
PerceptronInfo perceptron = new PerceptronInfo(minWeight, maxWeight);
for (int l = 0; l < net.Length; l++)
{
LayerInfo layer = l < net.Length - 1 ?
LayerInfo.CreateLayerWithBias :
LayerInfo.CreateDefaultLayer;
for (int n = 0; n < net[l]; n++)
{
layer.AddNeuron(NeuronInfo.CreateDefaultNeuron);
}
perceptron.AddLayer(layer);
}
return(perceptron);
}
public Perceptron(PerceptronInfo info)
{
// Create perceptron
layers = new Layer[info.layers.Count];
layers[0] = new Layer(new InputLayer(info.layers[0]));
for (int i = 1; i < layers.Length - 1; i++)
{
layers[i] = new Layer(new HiddenLayer(info.layers[i]));
}
layers[layers.Length - 1] = new Layer(new OutputLayer(info.layers[info.layers.Count - 1]));
// Set connections
for (int i = 0; i < layers.Length - 1; i++)
{
for (int j = 0; j < layers[i].neurons.Length; j++)
{
layers[i].neurons[j].SetConnections(layers[i + 1].neurons, info.minWeight, info.maxWeight);
}
}
}
