Exemple #1
0
 public NeuralNetwork(NeuralNetworkSettings settings)
 {
     Guard.NotNull(settings, nameof(settings));
     this.settings = settings;
     layerInputs   = NeuralNetworkArrayFactory.CreateLayers(Layers);
     layerOutputs  = NeuralNetworkArrayFactory.CreateLayers(Layers);
     deltas        = NeuralNetworkArrayFactory.CreateLayers(Layers);
     synapses      = NeuralNetworkArrayFactory.CreateSynapses(Layers);
 }
Exemple #2
0
        public static void Main(string[] _)
        {
            var sigmoid  = new SigmoidActivationFunction();
            var settings = new NeuralNetworkSettings(0.1, new[] {
                new NeuralNetworkLayerSettings(2, new LinearActivationFunction()),
                new NeuralNetworkLayerSettings(5, sigmoid),
                new NeuralNetworkLayerSettings(1, sigmoid)
            });
            var network = new NeuralNetwork(settings);

            for (var i = 0; i < 500000; ++i)
            {
                Train(network);
            }
            Test(network, true, false);
            Test(network, false, false);
            Test(network, true, true);
            Test(network, false, true);
        }