3b.m.txt

遗传算法优化RBF径向基神经网络的matlab程序源代码。

function [p,BsJ]=rbf_gaf(p,BsJ) 
ts=0.001; 
 
alfa=0.05; 
xite=0.85;       
x=[0,0]'; 
 
b=[p(1);p(2);p(3)];    
c=[p(4) p(5) p(6); 
    p(7) p(8) p(9)]; 
w=[p(10);p(11);p(12)];    
 
w_1=w;w_2=w_1; 
c_1=c;c_2=c_1; 
b_1=b;b_2=b_1; 
y_1=0; 
 
for k=1:1:500 
timef(k)=k*ts; 
    
u(k)=sin(5*2*pi*k*ts); 
 
y(k)=u(k)^3+y_1/(1+y_1^2);   
 
x(1)=u(k); 
x(2)=y(k); 
for j=1:1:3 
    h(j)=exp(-norm(x-c(:,j))^2/(2*b(j)*b(j))); 
end 
ym(k)=w_1'*h'; 
 
e(k)=y(k)-ym(k); 
 
d_w=0*w;d_b=0*b;d_c=0*c; 
for j=1:1:3 
   d_w(j)=xite*e(k)*h(j); 
   d_b(j)=xite*e(k)*w(j)*h(j)*(b(j)^-3)*norm(x-c(:,j))^2; 
  for i=1:1:2 
   d_c(i,j)=xite*e(k)*w(j)*h(j)*(x(i)-c(i,j))*(b(j)^-2); 
  end 
end 
   w=w_1+ d_w+alfa*(w_1-w_2); 
   b=b_1+d_b+alfa*(b_1-b_2); 
   c=c_1+d_c+alfa*(c_1-c_2); 
 
   y_1=y(k); 
    
   w_2=w_1; 
   w_1=w; 
    
   c_2=c_1; 
   c_1=c; 
    
   b_2=b_1; 
   b_1=b; 
   end 
    
B=0; 
for i=1:1:500 
   Ji(i)=abs(e(i)); 
   B=B+100*Ji(i);    
end 
BsJ=B;