24小时热门版块排行榜

返回列表

贝壳田园

铁虫 (初入文坛)

应助: 0 (幼儿园)
金币: 3.5
红花: 1
帖子: 21
在线: 19.1小时
虫号: 1440811
注册: 2011-10-13
性别: GG
专业: 有色金属冶金

[求助] In an assignment A(:) = B, the number of elements in A and B must be the same. 已有1人参与

In an assignment A(

= B, the number of elements in A and B must be the same.
Error in GA_BP (line 60)
individuals.fitness(i)=fun(x,inputnum,hiddennum,outputnum,net,inputn,outputn); %染色体的适应度

fun函数如下：
function error = fun(x,inputnum,hiddennum,outputnum,net,inputn,outputn)
%该函数用来计算适应度值
%x       input    个体
%inputnum input    输入层节点数
%outputnum  input    隐含层节点数
%net       input    网络
%inputn    input    训练输入数据
%outputn input    训练输出数据

%error    output 个体适应度值

%提取
w1=x(1:inputnum*hiddennum);
B1=x(inputnum*hiddennum+1:inputnum*hiddennum+hiddennum);
w2=x(inputnum*hiddennum+hiddennum+1:inputnum*hiddennum+hiddennum+hiddennum*outputnum);
B2=x(inputnum*hiddennum+hiddennum+hiddennum*outputnum+1:inputnum*hiddennum+hiddennum+hiddennum*outputnum+outputnum);

net=newff(inputn,outputn,hiddennum,{'tansig','purelin','trainlm'});
%网络进化参数
net.trainParam.epochs=10000;
net.trainParam.lr=0.15;
net.trainParam.goal=0.00001;
% net.trainParam.show=100;
% net.trainParam.showWindow=0;

%网络权值赋值
net.iw{1,1}=reshape(w1,hiddennum,inputnum);
net.lw{2,1}=reshape(w2,outputnum,hiddennum);
net.b{1}=reshape(B1,hiddennum,1);
net.b{2}=reshape(B2,outputnum,1);

%网络训练
net=train(net,inputn,outputn);

an=sim(net,inputn);

error=sum(abs(an-outputn));