bushwakko

package ann;import java.util.Collection;import java.util.Vector;public class Node {		private TransferFunc tfunc;	private double inputValue;	private double outputValue;	private double gradient;	private double learningRate;	private int layerDepth;	private int layerMaxDepth;	private boolean bias;	private Vector <Link> links;	private double targetValue;	private int id;	private static int counter=0;		public Node(int layerDepth, int layerMaxDepth, TransferFunc tfunc, double learningRate, boolean bias) {		this.links=new Vector<Link>();		this.layerDepth=layerDepth;		this.layerMaxDepth=layerMaxDepth;		this.learningRate=learningRate;		this.tfunc=tfunc;		this.bias=bias;		if(bias)			outputValue=1;		id=counter++;	}		public void connectToNode(Node n) {		Link newLink=new Link(this,n);		addLink(newLink);		n.addLink(newLink);	}	public void addLink(Link newLink) {		links.add(newLink);	}		public double getInputValue() {		return inputValue;	}		public void setInputValue(double value) {		this.inputValue=value;		if(layerDepth != 0)			this.outputValue=tfunc.f(value);		else 			this.outputValue=inputValue;	}		public double getOutputValue() {		return outputValue;	}		public void updateValue() {		if(layerDepth !=0 && !bias) {		inputValue=0;		boolean gotLink=false;			for(Link link: links) {				if(link.getToNode().equals(this)) {					inputValue+=link.getWeight()*link.getFromNode().getOutputValue();					gotLink=true;				}			}			if(gotLink)				outputValue=tfunc.f(inputValue);		}	}	public void updateWeightChanges() {		if(layerDepth!=0) {			for(Link link: links) {				if(link.getToNode().equals(this)) {					link.setWeightChange(learningRate*gradient*link.getFromNode().getOutputValue());				}			}		}	}		public void updateGradient() {		if(layerDepth==layerMaxDepth-1) {			if(!bias)				gradient=(targetValue-outputValue)*tfunc.fd(inputValue);		}		else if(layerDepth!=0) {			double tmpSum=0;			for(Link link:links) {				if(link.getFromNode().equals(this)) {					tmpSum+=link.getToNode().getGradient()*link.getWeight();				}			}			gradient=tfunc.fd(inputValue)*tmpSum;		}		System.out.println("new gradient for node "+id+" is "+gradient);	}		private double getGradient() {		return gradient;	}	public String toString() {		return Double.toString(outputValue);	}		public boolean isBiasNode() {		return bias;	}		public void applyWeightChanges() {		for(Link link:links) {			if(link.getFromNode().equals(this))				link.applyWeightChange();		}	}	public void setTargetValue(double targetValue) {		this.targetValue=targetValue;	}	public double getError() {		return targetValue-outputValue;	}	public Vector<Link> getLinks() {		Vector <Link> tmpLinks=new Vector<Link>();		for(int i=0;i<links.size();i++) {			if(links.get(i).getFromNode().equals(this))				tmpLinks.add(links.get(i));		}		return tmpLinks;	}	public double getTargetValue() {		return targetValue;	}	}