public LogicGate() { net = new GriotNet.NeuralNetwork(); examples.Add(new double[] { 1.0, 1.0 }); results.Add(new double[] { -1.0 }); examples.Add(new double[] { 1.0, -1.0 }); results.Add(new double[] { 1.0 }); examples.Add(new double[] { -1.0, 1.0 }); results.Add(new double[] { 1.0 }); examples.Add(new double[] { -1.0, -1.0 }); results.Add(new double[] { -1.0 }); }
public RecursiveNetwork() { _network = new GriotNet.NeuralNetwork(); _network.AddLayer(20); _network.AddLayer(5); _network.AddLayer(30); _network.AddLayer(8); _network.AddLayer(11); }