public void trainAndSave() {
System.out.println("Training XOR network to under 1% error rate.");
BasicNetwork network = new BasicNetwork();
network.addLayer(new BasicLayer(2));
network.addLayer(new BasicLayer(2));
network.addLayer(new BasicLayer(1));
network.getStructure().finalizeStructure();
network.reset();
NeuralDataSet trainingSet = new BasicNeuralDataSet(XOR_INPUT, XOR_IDEAL);
// train the neural network
final Train train = new ResilientPropagation(network, trainingSet);
do {
train.iteration();
} while (train.getError() > 0.009);
double e = network.calculateError(trainingSet);
System.out.println("Network traiined to error: " + e);
System.out.println("Saving network");
final EncogPersistedCollection encog = new EncogPersistedCollection(FILENAME);
encog.create();
encog.add("network", network);
}
