public static double evaluateMPROP(BasicNetwork network, NeuralDataSet data) {
ResilientPropagation train = new ResilientPropagation(network, data);
train.setNumThreads(0);
long start = System.currentTimeMillis();
System.out.println("Training 20 Iterations with MPROP");
for (int i = 1; i <= 20; i++) {
train.iteration();
System.out.println("Iteration #" + i + " Error:" + train.getError());
}
train.finishTraining();
long stop = System.currentTimeMillis();
double diff = ((double) (stop - start)) / 1000.0;
System.out.println("MPROP Result:" + diff + " seconds.");
System.out.println("Final MPROP error: " + network.calculateError(data));
return diff;
}
