nn.m

用matlab实现的几种模式识别的方法

Temp_Data=xlsread('cork_train.xls');
cork_feature = Temp_Data;
cork_feature(:,1)=[1:60];
Sum=zeros(60,1)+10000;
n=60;
ii=1;
while (n>3)
    for ii=1:60
    for jj=1:60
        if(cork_feature(ii,1)~=cork_feature(jj,1))
           Sum(jj)=sqrtm(sum((cork_feature(ii,:)-cork_feature(jj,:)).^2));
           signal=1;
        else
            signal=0;
        end
    end
    if signal==1
        [Result,Min]=min(Sum);
        cork_feature(Min,1)=ii;
        n=n-1;
    end
    end
end