public void calculateWeights(BasicNetwork network) {
int n1, n2, n3, n4;
int i, j;
int predN3, succN3;
double weight;
BoltzmannLogic logic = (BoltzmannLogic) network.getLogic();
for (n1 = 0; n1 < NUM_CITIES; n1++) {
for (n2 = 0; n2 < NUM_CITIES; n2++) {
i = n1 * NUM_CITIES + n2;
for (n3 = 0; n3 < NUM_CITIES; n3++) {
for (n4 = 0; n4 < NUM_CITIES; n4++) {
j = n3 * NUM_CITIES + n4;
weight = 0;
if (i != j) {
predN3 = (n3 == 0 ? NUM_CITIES - 1 : n3 - 1);
succN3 = (n3 == NUM_CITIES - 1 ? 0 : n3 + 1);
if ((n1 == n3) || (n2 == n4)) weight = -gamma;
else if ((n1 == predN3) || (n1 == succN3)) weight = -distance[n2][n4];
}
logic.getThermalSynapse().getMatrix().set(i, j, weight);
}
}
logic.getThermalLayer().setThreshold(i, -gamma / 2);
}
}
}
public void run() {
BoltzmannPattern pattern = new BoltzmannPattern();
pattern.setInputNeurons(NEURON_COUNT);
BasicNetwork network = pattern.generate();
BoltzmannLogic logic = (BoltzmannLogic) network.getLogic();
createCities();
calculateWeights(network);
logic.setTemperature(100);
do {
logic.establishEquilibrium();
System.out.println(logic.getTemperature() + " : " + displayTour(logic.getCurrentState()));
logic.decreaseTemperature(0.99);
} while (!isValidTour(logic.getCurrentState()));
System.out.println("Final Length: " + this.lengthOfTour(logic.getCurrentState()));
}