matlab_双隐层反向传播神经网络

%计算局部误差delta for(k=1:2) delta3(k)=(d(k)-z(k))*z(k)*(1-z(k)); end for(j=1:3) delta2(j)=(delta3'*u(:,j))*h2(j)*(1-h2(j)); end for(h=1:2) delta1(h)=(delta2'*v(:,h))*h1(h)*(1-h1(h)); end %计算权值增量 for(k=1:2) for(j=1:3) u(k,j)=u(k,j)+inta*delta3(k)*h2(j)+alpha*delay3(k,j);%最后一项为舒张项，alpha为舒张因子delay为第n-1次增量 delay3(k,j)=inta*delta3(k)*h2(j); end end for(j=1:3) for(i=1:2) v(j,i)=v(j,i)+inta*delta2(j)*h1(i)+alpha*delay2(j,i);%最后一项为舒张项，alpha为舒张因子delay为第n-1次增量 delay2(j,i)=inta*delta2(j)*h1(i); end end for(i=1:2) for(h=1:3) w(k,j)=w(i,h)+inta*delta1(i)*x(h)+alpha*delay1(i,h);%最后一项为舒张项，alpha为舒张因子delay为第n-1次增量 delay1(i,h)=inta*delta1(i)*x(h); end end e=d-z;%计算误差向量 sigma(n)=e'*e;%计算误差平方和