function?[FitFuny]=Cost（xkDataSet）
%?x=x/10;
sigma=reshape（x（1:15）35）‘;
m=reshape（x（16:30）35）‘;
Y=x（31:33）;


Y_B=DataSet（1:k6）;
y=zeros（k1）;

for?num_Input=1:k
????[y（num_Input）]=FNN（sigmamYnum_InputDataSet）;
end

FitFun=sum（power（Y_B-y2））/k;
end

?屬性????????????大小?????日期????時間???名稱
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?????文件?????386942??2012-10-20?15:48??Takamoli\A?Particle?Swarm?Optimized?Fuzzy?Neural?Network?For?Bankruptcy?Prediction.pdf

?????文件????????278??2012-09-27?12:08??Takamoli\code\Cost.m

?????文件????????601??2012-10-01?17:17??Takamoli\code\FNN.m

?????文件???????2681??2012-10-08?19:44??Takamoli\code\PSO_Train_Copy.m

?????文件??????55296??2012-10-08?19:43??Takamoli\code\simulation.xls

?????文件???????1188??2012-09-30?15:54??Takamoli\code\Test_Step.m

????..A..H.???????162??2012-11-20?19:13??Takamoli\~$???????????PSO??????????????（Repaired）?（Repaired）?（Repaired）.docx

?????文件?????678654??2012-10-06?18:57??Takamoli\?????????????PSO??????????????（Repaired）?（Repaired）?（Repaired）.docx

?????目錄??????????0??2012-10-20?16:37??Takamoli\code

?????目錄??????????0??2012-11-20?19:13??Takamoli

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??????????????1125802????????????????????10