public Chromosom Run()
{
//NeuralNetwork nn = new NeuralNetwork();
//nn.InitialiseNetwork(listDataSet[0].AttributeCount, listDataSet[0].AttributeCount / 2, classificationClass.TargetCount);
//nn.Seed = 0;
//nn.InitialiseWeight();
//BackPropagation bp = new BackPropagation();
//bp.Initialise(nn, listDataSet, classificationClass);
//bp.Run();
//FeedForward ff = new FeedForward();
//ff.Initialise(nn, listDataSet);
//ff.Run();
ChromosomInit();
int iteration = 10;
for (int i = 0; i < iteration; i++)
{
//Console.WriteLine("################## "+ i);
DoBackPropagation();
DoSelection();
DoCrossOver();
int chanceMutation = GetRandom();
if (chanceMutation < GetRandom())
{
DoMutation();
}
}
int index = 0;
for (int i = 1; i < chromosoms.Count; i++)
{
if (chromosoms[i].FitnessValue > chromosoms[index].FitnessValue)
{
index = i;
}
}
Chromosom fittestChromosom = chromosoms[index];
return(fittestChromosom);
}
private void Btn_Read_Click(object sender, RoutedEventArgs e)
{
FileReader fr = new FileReader();
ListDataSet dsl = fr.ReadFile("DataSetBaru", cc);
dsl.Normalized();
GeneticAlgorithm ga = new GeneticAlgorithm();
ga.Initialize(dsl, cc);
fitChrom = ga.Run();
for (int i = 0; i < dsl.Count; i++)
{
int popCount = 0;
for (int j = 0; j < fitChrom.Length; j++)
{
if (fitChrom[j] == 0)
{
dsl[i].RemoveBit(j - popCount);
popCount++;
}
}
}
Stopwatch sw = Stopwatch.StartNew();
nn.InitialiseNetwork(dsl[0].AttributeCount, dsl[0].AttributeCount / 2, cc.TargetCount);
nn.Seed = 0;
nn.InitialiseWeight();
BackPropagation bp = new BackPropagation();
bp.Initialise(nn, dsl, cc);
bp.Run(500);
sw.Stop();
Console.WriteLine(sw.ElapsedMilliseconds / 1000.0f);
}