/// <summary>
/// Construct the trainer.
/// </summary>
/// <param name="theNetwork">The network to train.</param>
public TrainHopfieldStorkey(HopfieldNetwork theNetwork)
{
_network = theNetwork;
_sumMatrix = AIFH.Alloc2D <double>(_network.InputCount, _network.InputCount);
}
public static void Evaluate(HopfieldNetwork hopfieldLogic, string[][] pattern)
{
for (var i = 0; i < pattern.Length; i++)
{
var pattern1 = ConvertPattern(pattern, i);
hopfieldLogic.CopyToCurrentState(pattern1);
var cycles = hopfieldLogic.RunUntilStable(100);
var pattern2 = hopfieldLogic.CurrentState;
Console.WriteLine("Cycles until stable(max 100): " + cycles + ", result=");
Display(pattern1, pattern2);
Console.WriteLine("----------------------");
}
}
public void Run()
{
var hopfieldLogic = new HopfieldNetwork(WIDTH*HEIGHT);
var train = new TrainHopfieldStorkey(hopfieldLogic);
for (var i = 0; i < PATTERN.Length; i++)
{
train.AddPattern(ConvertPattern(PATTERN, i));
}
Evaluate(hopfieldLogic, PATTERN);
Evaluate(hopfieldLogic, PATTERN2);
}
/// <summary>
/// Construct the trainer.
/// </summary>
/// <param name="theNetwork">The network to train.</param>
public TrainHopfieldStorkey(HopfieldNetwork theNetwork)
{
_network = theNetwork;
_sumMatrix = AIFH.Alloc2D<double>(_network.InputCount, _network.InputCount);
}
