trainingelement.java

神经网络源代码,实现了一个BP神经网络,可以完成基于BP的神经网络算法.

package net.openai.ai.nn.training;

import java.util.*;

public class TrainingElement {

    //  holds the input for this training element
    private Vector input = null;
    
    //  holds the desired output for this element
    private Vector desired = null;

    //  holds the current output that was calcuated for this element
    private Vector output = null;

    public TrainingElement() {
	input = new Vector();
	output = new Vector();
    }

    public TrainingElement(Vector input, Vector desired) {
	this();
	this.input = input;
	this.desired = desired;;
    }

    /**
     * Returns the input values for this element
     * @return Vector input values.
     */
    public Vector getInput() {
	return input;
    }

    /**
     * Sets the input values for this element
     * @param Vector input values.
     */
    public void setInput(Vector input) {
	this.input = input;
    }

    /**
     * Returns the desired values for this element
     * @return Vector desired values.
     */
    public Vector getDesired() {
	return desired;
    }

    /**
     * Sets the desired values for this element
     * @param Vector desired values.
     */
    public void setDesired(Vector desired) {
	this.desired = desired;
    }

    /**
     * Returns the current output values for this element
     * @return Vector input values.
     */
    public Vector getOutput() {
	return output;
    }

    /**
     * Sets the output values for this element
     * @param Vector output values.
     */
    public void setOutput(Vector output) {
	this.output = output;
    }

    /**
     * Returns a string representation of the training element.
     *
     * @return String String representation.
     */
    public String toString() {
	String element = "\nInput:\n" + input.toString() + "\n";
	element += "Desired:\n" + desired.toString() + "\n"; 
	element += "Output:\n" + output.toString() + "\n"; 
	return element;
    }
}