test.java

bp人工神经网络算法实现

package bp;
import javasci.SciDoubleArray;
import javasci.Scilab;
import structure.*;
/**
 * 带动量参数的BP训练三层神经网络
 * */
public class Test {
	/**
	 * @param args
	 */
	public static void main(String[] args) {
	    Net net=new Net(); 
        BPTrain bpt=new BPTrain();
        System.out.println("----初始权重和阈值----");
        net.printWeight();
        bpt.train(net);
        System.out.println("----训练后权重和阈值----");
        net.printWeight();
        ReadSample rs=new ReadSample();
		String dir=System.getProperty("user.dir");
		rs.read();
		double[] plotIn=new double[rs.getRow()],plotOut=new double[rs.getRow()];
		
		for(int i=0;i<rs.getRow();i++){
		    plotIn[i]=rs.getInput()[i][0];
		}
		plotOut=rs.getResult();
		double input[]=new double[20];
		double output[]=new double[20];
		double[] oout;
		double init=-2;
		for(int i=0;i<20;i++){
			input[i]=init;
			init+=0.2;
			double[] iin={input[i]};
			oout=net.compute(iin);
			output[i]=oout[0];
		}
		/******************************
		 * 将结果用Scilab显示
		 * ***************************/
		SciDoubleArray A,B,C,D;
		A=new SciDoubleArray("A",1,rs.getRow(),plotOut);
		B=new SciDoubleArray("B",1,rs.getRow(),plotIn);
		C=new SciDoubleArray("in",1,20,input);
		D=new SciDoubleArray("out",1,20,output);
		//Scilab.Exec("exec(''D:\\JAVADEV\\workspace\\ANN\\plot.sce'')");
		Scilab.Exec("exec(''"+dir+"\\plot.sce'')");
	}

}