主题:[求助]BP神经网络的归一化问题和训练好的网络如何仿真
麻烦大家帮忙我改一下.文件的归一化问题没有解决,训练好的网络,输出的程序这样能不能行啊?
inputn=2
input=[8.080^2,46.58;
9.043^2,46.58];
d=1;
while (d<=inputn)
for i=1:inputn
x(i)=input(d,i);%获得输入的向量(数据)
end
for j=1:hideNums
net=0.0;
for i=1:inputn
net=net+x(i)*v(i,j);
end
y(j)=1/(1+exp(-net));
end
for k=1:outputNums
net=0.0;
for j=1:hideNums
net=net+y(j)*w(j,k);
end
output(d,k)=1/(1+exp(-net));
end
d=d+1;
end
现在好郁闷啊,都搞了好多天了.请大哥大姐们帮忙改一下,感谢不激!
inputn=2
input=[8.080^2,46.58;
9.043^2,46.58];
d=1;
while (d<=inputn)
for i=1:inputn
x(i)=input(d,i);%获得输入的向量(数据)
end
for j=1:hideNums
net=0.0;
for i=1:inputn
net=net+x(i)*v(i,j);
end
y(j)=1/(1+exp(-net));
end
for k=1:outputNums
net=0.0;
for j=1:hideNums
net=net+y(j)*w(j,k);
end
output(d,k)=1/(1+exp(-net));
end
d=d+1;
end
现在好郁闷啊,都搞了好多天了.请大哥大姐们帮忙改一下,感谢不激!