synapse.java

数据挖掘。数据仓库

package org.scut.DataMining.Algorithm.NeuralNetwork.Core;


public class Synapse
{
	/** Neuron connects backward to the synapse */
	private Neuron backwardNeuron;
	/** Neuron connects forward to the synapse */
	private Neuron forwardNeuron;
	/** Weight of the Neuron */
	private double weight;
	/** Delta weight to be changed of the neuron */
	private double deltaWeight;
	/** Learning rate of the synapse */
	private double learningRate = 0.1;
	/** Random initialized random range for the synapse */
	private double initRandomRange = 0.05;
	public Synapse(Neuron backward,Neuron forward)
	{
		super();
		// TODO Auto-generated constructor stub
		this.backwardNeuron = backward;
		this.forwardNeuron = forward;
		this.weight = (Math.random()-0.5)*2*this.initRandomRange;
		this.deltaWeight = 0;
	}
	/**
	 * Gets the weight of the synapse
	 * @return weight value of the synapse
	 */
	public double getWeight()
	{
		return this.weight;
	}
	/**
	 * Sets the weight
	 * @param weight
	 */
	public void setWeight(double weight)
	{
		this.weight = weight;
	}
	/** Adds the weight by delta weight and, sets the delta weight zero*/
	public void updateWeight()
	{
		this.weight += this.deltaWeight;
		this.deltaWeight = 0.0;
	}
	/**
	 * Gets the delta weight
	 * @return delta weight value
	 */
	public double getDeltaWeight()
	{
		return this.deltaWeight;
	}
	/**
	 * Adds the delta weight at the accelerate speed(learning rate)
	 * @param value delta value 
	 */
	public void updateDeltaWeight(double value)
	{
		this.deltaWeight += this.learningRate*value;
	}
	/**
	 * Gets the backward neuron of the synapse
	 * @return backward neuron
	 */
	public Neuron getBackwardNeuron()
	{
		return this.backwardNeuron;
	}
	/**
	 * Gets the forward neuron of the synapse
	 * @return forward neuron
	 */
	public Neuron getForwardNeuron()
	{
		return this.forwardNeuron;
	}
	/** 
	 * Gets the learning rate 
	 * @return learning rate
	 * */
	public double getLearningRate()
	{
		return this.learningRate;
	}
	/**
	 * Sets the learning rate
	 * @param value learning rate to be set
	 */
	public void setLearningRate(double value)
	{
		this.learningRate = value;
	}
	/**
	 * Gets the initial weight random range
	 * @return random range value
	 */
	public double getInitRandomRange()
	{
		return this.initRandomRange;
	}
	/**
	 * Sets the initial weight random range
	 * @param value random range to be set
	 */
	public void setInitRandomRange(double value)
	{
		this.initRandomRange = value;
		this.weight = (Math.random()-0.5)*2*this.initRandomRange;
	}

}