private void learnPattern(DataSetRow dataSetRow, int neighborhood) {
neuralNetwork.setInput(dataSetRow.getInput());
neuralNetwork.calculate();
Neuron winner = getClosest();
if (winner.getOutput() == 0) return; // ako je vec istrenirana jedna celija, izadji
Layer mapLayer = neuralNetwork.getLayerAt(1);
int winnerIdx = mapLayer.indexOf(winner);
adjustCellWeights(winner, 0);
int cellNum = mapLayer.getNeuronsCount();
for (int p = 0; p < cellNum; p++) {
if (p == winnerIdx) continue;
if (isNeighbor(winnerIdx, p, neighborhood)) {
Neuron cell = mapLayer.getNeuronAt(p);
adjustCellWeights(cell, 1);
} // if
} // for
}
