public abstract class LMS {
 Object[] examples;
 double[] values;
 int[] successors;
 double[] weights;
 public LMS(Object[] E, double[] V, int[] S, double[] W) {
 examples = E; values = V; successors = S; weights = W;
 }
 public void learn() {
 // For each training example (e, V(s)) where s = successor(e)
 for (int ei=0; ei<examples.length; ei++) {
 Object e = examples[ei];
 // use the current weight to calculate V(e)
 double ve = value(e);
 double vs = values[successors[ei]];
 // For each weight wi, update it as
 // wi = wi + c( V(s) - V(e) )
 for (int wi=0; wi<weights.length; wi++)
 weights[wi] = weights[wi]+0.001 * (vs - ve);
 }
 System.out.print("w=");
 for (int wi=0; wi<weights.length; wi++)
 System.out.print(weights[wi]+",");
 System.out.println();
 }
 public abstract double value(Object e);
}
public class LMSTest extends LMS { 
 public static void main(String[] args) {
 Object[] E = {new Double(1), new Double(3), new Double(5)};
 double[] V = {2, 4, 6};
 int[] S = {0, 1, 2};
 double[] W = {0,0};
 LMSTest learner = new LMSTest(E,V,S,W);
 for (int i=0; i<1000; i++)
 learner.learn();
 }
 public LMSTest(Object[] E, double[] V, int[] S, double[] W) {
 super(E,V,S,W);
 }
 public double value(Object example) {
 double x = ((Double) example).doubleValue();
 return weights[0]+weights[1]*x;
 }
}

作者

陳鍾誠,於金門大學資訊工程系,電子郵件:wt.ude.uqn|ccc#wt.ude.uqn|ccc,網站:http://ccckmit.wikidot.com。

授權

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中文版 (APA格式)

陳鍾誠 (27 Oct 2009 01:07),(網頁標題) LMS 機器學習方法,(網站標題) 陳鍾誠的網站,取自 http://ccckmit.wikidot.com/nn:lmsjava ,網頁修改第 11 版。

英文版 (APA格式)

Chung-Chen Chen (27 Oct 2009 01:07), Retrieved from http://ccckmit.wikidot.com/nn:lmsjava , Page Revision 11.