/// <summary>
/// Runs this sample
/// </summary>
public static void Main(string[] args)
{
// create training set (H and T letter in 3x3 grid)
DataSet trainingSet = new DataSet(9);
trainingSet.addRow(new DataSetRow(new double[] { 1, 0, 1, 1, 1, 1, 1, 0, 1 })); // H letter
trainingSet.addRow(new DataSetRow(new double[] { 1, 1, 1, 0, 1, 0, 0, 1, 0 })); // T letter
// create hopfield network
Hopfield myHopfield = new Hopfield(9);
// learn the training set
myHopfield.learn(trainingSet);
// test hopfield network
Console.WriteLine("Testing network");
// add one more 'incomplete' H pattern for testing - it will be recognized as H
trainingSet.addRow(new DataSetRow(new double[] { 1, 0, 0, 1, 0, 1, 1, 0, 1 }));
// print network output for the each element from the specified training set.
foreach (DataSetRow trainingSetRow in trainingSet.Rows)
{
myHopfield.Input = trainingSetRow.Input;
myHopfield.calculate();
myHopfield.calculate();
double[] networkOutput = myHopfield.Output;
Console.Write("Input: " + Arrays.ToString(trainingSetRow.Input));
Console.WriteLine(" Output: " + Arrays.ToString(networkOutput));
}
}
