bp神经网络的matlab实现.m文件

inputNums=15; %??????
outputNums=15; %??????
hideNums=10; %?????
maxcount=10000; %??????
precision=0.01; %????
alpha=0.1; %???
% a=0.5; %?????
v=rand（inputNumshideNums）; %?????????
% deltv=zeros（inputNumshideNums）;
% dv=zeros（inputNumshideNums）;
w=rand（hideNumsoutputNums）; %?????????
% deltw=zeros（hideNumsoutputNums）;
% dw=zeros（hideNumsoutputNums）;
% v_start=v;
% w_start=w;
error=zeros（1outputNums）;
in=-1:0.1:1;
expectout=sin（in+1）; %????
count=1;

while （count<=maxcount）    %????
for i=1:inputNums          %?????
x（i）=in（i）;
end
for k=1:outputNums
d（k）=expectout（k）;
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ???????
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
for j=1:hideNums
out1=0;
for i=1:inputNums
out1=out1+x（i）*v（ij）; %???????????x（i）v（ij）
end
y1（j）=1/（1+exp（-out1））; %??????f（x）=1/（1+exp（-x））???s??
end
for k=1:outputNums
out2=0;
for j=1:hideNums
out2=out2+y1（j）*w（jk）; %???????????y1（j）w（jk）
end
output（k）=1/（1+exp（-out2））; %?????

end
%%%%%%%%%%%%%%%%%%%%%%% ??????棗???????LMS
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
error=0;
for k=1:outputNums
error=error+（d（k）-output（k））^2;