rbfn.m

利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]

clear all;
P0=imread('0.bmp');
P1=imread('1.bmp');
P2=imread('2.bmp');
P3=imread('3.bmp');
P4=imread('4.bmp');
P5=imread('5.bmp');
P6=imread('6.bmp');
P7=imread('7.bmp');
P8=imread('8.bmp');
P9=imread('9.bmp');
P0=P0(:);P1=P1(:);P2=P2(:);P3=P3(:);
P4=P4(:);P5=P5(:);P6=P6(:);P7=P7(:);
P8=P8(:);P9=P9(:);
P=[P0,P1,P2,P3,P4,P5,P6,P7,P8,P9];
P=double(P);
[N,d]=size(P);
P=P(1:100:N,:);
T=[0,1,2,3,4,5,6,7,8,9];
eg=0.02;
sc=1;
net=newrb(P,T,eg,sc);
y=sim(net,P);
x=1:1:10;
plot(x,T,'^',x,y);title('训练向量');xlabel('输入向量P');ylabel('目标向量T');