rbf2.m

This procedure is well used in classifying based on matlab. And this time 3 RBF procedure are upload

P=-1:0.1:1;
T=[-.9602 -.5770 -.0729 .3771 .6405 .6600 .4609 .1336 -.2013 -.4344 -.5000 -.3930 -.1647 .0988 .3072 .3960 .3449 .1816 -.0312 -.2189 -.3201];
p=-3:.1:3;
a=radbas(p);
plot(p,a)
title('径向基传递函数');
xlabel('输入a');
ylabel('输出p');
a2=radbas(p-1.5);
a3=radbas(p+2);
a4=a+a2*1+a3*0.5;
plot(p,a,'b-',p,a2,'b-',p,a3,'b-',p,a4,'m--')
eg=0.02;
sc=1;
net=newrb(P,T,eg,sc);