| public Compute ( double input, double output ) : void | ||
| input | double | The input. |
| output | double | Output will be placed here. |
| return | void | |
/// <summary>
/// Program entry point.
/// </summary>
/// <param name="app">Holds arguments and other info.</param>
public void Execute(IExampleInterface app)
{
var network = new FlatNetwork(2, 4, 0, 1, false);
network.Randomize();
IMLDataSet trainingSet = new BasicMLDataSet(XORInput, XORIdeal);
var train = new TrainFlatNetworkResilient(network, trainingSet);
int epoch = 1;
do
{
train.Iteration();
Console.WriteLine(@"Epoch #" + epoch + @" Error:" + train.Error);
epoch++;
} while (train.Error > 0.01);
var output = new double[1];
// test the neural network
Console.WriteLine(@"Neural Network Results:");
foreach (IMLDataPair pair in trainingSet)
{
double[] input = pair.Input.Data;
network.Compute(input, output);
Console.WriteLine(input[0] + @"," + input[1] + @":" + output[0]);
}
}
public static void Evaluate(FlatNetwork network, IMLDataSet trainingSet)
{
double[] output = new double[1];
foreach (IMLDataPair pair in trainingSet)
{
network.Compute(pair.Input.Data, output);
Console.WriteLine(pair.Input.Data[0] + @"," + pair.Input[1]
+ @", actual=" + output[0] + @",ideal=" + pair.Ideal[0]);
}
}
