void KohonenTeach()
{
Neuron.RandRange = new Range(0.0f, 1.0f);
kohonenNetwork = new DistanceNetwork(liczba_wejsc, liczba_neuronow_pion * liczba_neuronow_poziom);
kohonenNetwork.Randomize();
SOMLearning teacher = new SOMLearning(kohonenNetwork);
double driftingLearningRate = this.wps_zmiany_wsp;
double fixedLearningRate = this.pocz_wart_wsp_nauki;
double learningRadius = this.pocz_rozmiar_sasiedz;
double driftingLearningRadius = this.wsp_zmian_rozm_sasiedz;
int iteration = 1;
while (!needToStop)
{
teacher.LearningRate = driftingLearningRate * (numberOfCycles - iteration) / numberOfCycles + fixedLearningRate;
teacher.LearningRadius = (double)learningRadius * (numberOfCycles - iteration) / numberOfCycles;
teacher.RunEpoch(trainingKData);
SetIterationsCount(iteration++);
if (iteration > numberOfCycles) break;
}
teachingDone = true;
needToStop = false;
UpdateLabels();
}
