static void Main(string[] args)
{
FeedforwardNetwork network = new FeedforwardNetwork();
network.AddLayer(new FeedforwardLayer(2));
network.AddLayer(new FeedforwardLayer(3));
network.AddLayer(new FeedforwardLayer(1));
network.Reset();
// train the neural network
TrainingSetNeuralGeneticAlgorithm train = new TrainingSetNeuralGeneticAlgorithm(
network, true, XOR_INPUT, XOR_IDEAL, 5000, 0.1, 0.25);
int epoch = 1;
do
{
train.Iteration();
Console.WriteLine("Epoch #" + epoch + " Error:" + train.Error);
epoch++;
} while ((epoch < 5000) && (train.Error > 0.001));
network = train.Network;
// test the neural network
Console.WriteLine("Neural Network Results:");
for (int i = 0; i < XOR_IDEAL.Length; i++)
{
double [] actual = network.ComputeOutputs(XOR_INPUT[i]);
Console.WriteLine(XOR_INPUT[i][0] + "," + XOR_INPUT[i][1]
+ ", actual=" + actual[0] + ",ideal=" + XOR_IDEAL[i][0]);
}
}
public TrainingSetNeuralChromosome(TrainingSetNeuralGeneticAlgorithm genetic, FeedforwardNetwork network)
{
GeneticAlgorithm = genetic;
Network = network;
InitGenes(network.MatrixSize);
UpdateGenes();
}
public TrainingSetNeuralChromosome(TrainingSetNeuralGeneticAlgorithm genetic, FeedforwardNetwork network)
{
GeneticAlgorithm = genetic;
Network = network;
InitGenes(network.MatrixSize);
UpdateGenes();
}
static void Main(string[] args)
{
input = GetInput();
label = GetLabel();
FeedforwardNetwork network = new FeedforwardNetwork();
network.AddLayer(new FeedforwardLayer(4));
network.AddLayer(new FeedforwardLayer(5));
network.AddLayer(new FeedforwardLayer(1));
network.Reset();
// train the neural network
TrainingSetNeuralGeneticAlgorithm train = new TrainingSetNeuralGeneticAlgorithm(
network, false, input, label, 5000, 0.1, 0.25);
int epoch = 1;
do
{
train.Iteration();
Console.WriteLine("Epoch #" + epoch + " Error:" + train.Error);
epoch++;
} while ((epoch < 5000) && (train.Error > 0.001));
network = train.Network;
// test the neural network
Console.WriteLine("Neural Network Results:");
for (int i = 0; i < label.Length; i++)
{
double[] actual = network.ComputeOutputs(input[i]);
Console.WriteLine(input[i][0] + "," + input[i][1]
+ ", actual=" + actual[0] + ",ideal=" + label[i][0]);
}
}
