static void ExecuteSeries(Scenario scenario, Pattern testPattern)
{
int matchCount = 0;
int nonMatchCount = 0;
for (int i = 0; i < 1000; i++)
{
try
{
var network = new HopfieldNetwork();
network.TeachWithHebbsRule(scenario);
var testingVector = Vector <double> .Build.DenseOfArray(testPattern.CreateVectorData(7, 7));
var outputVector = network.Test(new NeuralVector(testingVector));
var outputPattern = Helper.MapToPattern(outputVector, scenario.LineCount, scenario.ColumnCount);
if (outputPattern.IsEqualValue(testPattern))
{
matchCount++;
}
else
{
nonMatchCount++;
}
}
catch (Exception exception)
{
Console.WriteLine("Error on Test");
Console.WriteLine(exception);
}
}
Console.Write($"Ergebnis: Korrekt {matchCount} - Falsch {nonMatchCount}");
}
static void ExecuteSingle(Scenario scenario, Pattern testPattern)
{
try
{
var network = new HopfieldNetwork();
network.TeachWithHebbsRule(scenario);
var testingVector = Vector <double> .Build.DenseOfArray(testPattern.CreateVectorData(7, 7));
var outputVector = network.Test(new NeuralVector(testingVector));
var outputPattern = Helper.MapToPattern(outputVector, scenario.LineCount, scenario.ColumnCount);
Console.WriteLine("Ergebnis");
Console.WriteLine(outputPattern);
}
catch (Exception exception)
{
Console.WriteLine("Error on Test");
Console.WriteLine(exception);
}
}