BackPropagationNetwork.java

package func.nn.backprop;

import func.nn.feedfwd.FeedForwardNetwork;

/**
 * A back propagation network
 * @author Andrew Guillory gtg008g@mail.gatech.edu
 * @version 1.0
 */
public class BackPropagationNetwork extends FeedForwardNetwork {

    /**
     * Backpropagte through the network.
     */
	public void backpropagate() {
		((BackPropagationLayer) getOutputLayer()).backpropagate();
		for (int i = getHiddenLayerCount() - 1; i >= 0; i--) {
			((BackPropagationLayer) getHiddenLayer(i)).backpropagate();;
		}
	}

	/**
     * Clear out the error values at the end of a batch
	 * or at the end of a single training for
     * stochastic / online training
	 */
    public void clearError() {
        ((BackPropagationLayer) getOutputLayer()).clearError();
        for (int i = getHiddenLayerCount() - 1; i >= 0; i--) {
            ((BackPropagationLayer) getHiddenLayer(i)).clearError();;
        }
    }
    
    /**
     * Update weights with the given rule
     * @param rule the rule to use to update weights
     */
    public void updateWeights(WeightUpdateRule rule) {
        ((BackPropagationLayer) getOutputLayer()).updateWeights(rule);
        for (int i = getHiddenLayerCount() - 1; i >= 0; i--) {
            ((BackPropagationLayer) getHiddenLayer(i)).updateWeights(rule);;
        }
    }
    
    /**
     * Set the output errors
     * @param errors the output errors
     */
    public void setOutputErrors(double[] errors) {
        ((BackPropagationLayer) getOutputLayer()).setOutputErrors(errors);
    }




}