Ejemplo n.º 1
0
 public NeuralLayer(int numNeurons, int inputs, NeuralNetwork net)
 {
     Neurons = new Neuron[numNeurons];
     NumInputs = inputs;
     for(int i = 0; i < numNeurons; i++)
     {
         Neurons[i] = new Neuron(inputs, net);
     }
     //Neurons[0].Debug = true;
 }
Ejemplo n.º 2
0
 public void SetNetwork(NeuralNetwork net)
 {
     Network = net;
 }
Ejemplo n.º 3
0
 public OutputNeuralLayer(int outputs, int inputs, NeuralNetwork net)
     : base(outputs, inputs, net)
 {
     Neurons[0].Debug = false;
 }
Ejemplo n.º 4
0
 public Neuron(int inputs, NeuralNetwork net)
 {
     Network = net;
     Weights = new double[inputs];
     deltas = new double[inputs];
     for (int i = 0; i < inputs; i++)
     {
         Weights[i] = NeuralNetwork.Rand.NextDouble()*4-2;
     }
     Bias = NeuralNetwork.Rand.NextDouble()*4-2;
 }
Ejemplo n.º 5
0
 public override void SetNetwork(NeuralNetwork net)
 {
     return;
 }
Ejemplo n.º 6
0
 public virtual void SetNetwork(NeuralNetwork net)
 {
     Neurons.ForEach(n => n.SetNetwork(net));
 }
Ejemplo n.º 7
0
 public InputNeuralLayer(int inputs, NeuralNetwork net)
     : base(0, inputs, net)
 {
 }
Ejemplo n.º 8
0
    private void runner(object state)
    {
        int id = (int)state;
            do
            {
                NeuralNetwork.NetworkParameters param;
                lock (ParametersEnumerator)
                {
                    if (!ParametersEnumerator.MoveNext())
                    {
                        // Done
                        return;
                    }
                    param = ParametersEnumerator.Current;
                    Console.WriteLine(string.Format("Id {4} Starting an optimization run : L={0} N={1} D={2} R={3}", param.Layers, param.NeuronsPerLayers, param.MaxDepth, param.TrainingRate, id));
                }

                NeuralNetwork network = new NeuralNetwork(param);
                var results = network.TrainBatch(TrainingSet.Item1.ToList(), TrainingSet.Item2.ToList(), s => Console.WriteLine("Id "+ id + " " + s));

                // Check against bests
                lock (bestRuns)
                {
                    Console.WriteLine(string.Format("Optimisation for {0} is done in {1}s. Results => MSE={2:.00}% // Success={5:.00} ({3}/{4})", id, results.duration.TotalSeconds, results.mse*100, results.success, results.count, ((double)results.success/results.count)*100));
                    if (bestRuns.Count < bestRuns.Capacity)
                    {
                        bestRuns.Add(Tuple.Create(network, results, param));

                    }
                    else
                    {
                        for(int i = 0; i < bestRuns.Count; i++)
                        {
                            if (bestRuns[i].Item2.success < results.success)
                            {
                                bestRuns[i] = Tuple.Create(network, results, param);
                            }
                        }
                    }
                    break;
                }
            } while (true);
    }
Ejemplo n.º 9
0
    static void Main(string[] args)
    {
        if (args.Length < 2)
            {

                Environment.Exit(1);
                return;
            }

            var test = extractPlayers(args[1]);

            //Console.Out.WriteLine(allPlayers.Count);
            var serializer = new XmlSerializer(typeof(SerializeNetwork));
            if (args[0].EndsWith(".xml"))
            {
                // Training is a xml backup
                var load = File.OpenRead(args[0]);
                var deserialized = (SerializeNetwork)serializer.Deserialize(load);
                load.Close();
                network = deserialized.network;
                mean = deserialized.means;
                stdev = deserialized.stdev;
                network.Checker = checker;
                network.SetNetwork();
            }
            else
            {
                var training = extractPlayers(args[0]);
                network = Train(training);
            }
            Test(test);

            var save = File.Create("network.xml");
            serializer.Serialize(save, new SerializeNetwork { network = network, means = mean, stdev = stdev });
            save.Close();
            while(Console.ReadLine() != "stop");
    }
Ejemplo n.º 10
0
 public void SetActualNetworkFromNetworkDetails()
 {
     this.actualNetwork = ucNetworkDetails.GetNetwork();
 }