randomicinitialization.java

利用Java实现的神经网络工具箱

/*
 * Created on 23/10/2004
 *
 * TODO To change the template for this generated file go to
 * Window - Preferences - Java - Code Generation - Code and Comments
 */
package neuralnetworktoolkit.neuralnetwork.weightinitialization;

import neuralnetworktoolkit.neuralnetwork.INeuralNetwork;

/**
 * @author iver
 *
 * TODO To change the template for this generated type comment go to
 * Window - Preferences - Java - Code Generation - Code and Comments
 */
public class RandomicInitialization extends WeightInitialization {
	
	/* (non-Javadoc)
	 * @see neuralnetworktoolkit.neuralnetwork.WeightInitialization#initialize(neuralnetworktoolkit.neuralnetwork.INeuralNetwork)
	 */
	public void initialize(INeuralNetwork nn) {
		for (int i = (nn.getNetworkSize() - 1); i >= 0; i--) {
			for (int j = 0; j < nn.getLayer(i).getLayerSize(); j++) {
								
				nn.getLayer(i).setBias(randomNumber(-.5, .5), j);
				
				for (int k = 0; k < nn.getLayer(i).getWeightSize(j); k++) {
					nn.getLayer(i).setWeight(randomNumber(-.5, .5), k, j);
				}
				
			}
		}
	}
}