private static void Main(string[] args)
{
var layer1 = new NeuronLayer(4, 3);
var layer2 = new NeuronLayer(1, 4);
var neuralNetwork = new NeuralNetwork(layer1, layer2);
double[,] trainingSetInputs =
{
{ 0, 0, 1 },
{ 0, 1, 1 },
{ 1, 0, 1 },
{ 0, 1, 0 },
{ 1, 0, 0 },
{ 1, 1, 1 },
{ 0, 0, 0 }
};
double[,] trainingSetOutputs =
{
{ 0 },
{ 1 },
{ 1 },
{ 1 },
{ 1 },
{ 0 },
{ 0 }
};
Console.WriteLine("Start training ...");
// Train the neural network using a training set.
// Do it 10,000 times
neuralNetwork.Train(trainingSetInputs, trainingSetOutputs, 10000);
Console.WriteLine("End training ...\n\n");
// Predict
Console.WriteLine("Considering new situation [1, 1, 0] -> ?\n");
Matrix <double> hiddenLayer;
Matrix <double> result;
neuralNetwork.Think(new double[, ] {
{ 1, 1, 0 }
}, out hiddenLayer, out result);
Console.WriteLine(result);
Console.ReadKey();
}
public NeuralNetwork(NeuronLayer layer1, NeuronLayer layer2)
{
_layer1 = layer1;
_layer2 = layer2;
}
