simulation.m

基于形态神经网络的 模式识别方法

function [resresult,phi]=simulation(PP,weight,center,sigma,M);

[g1 g2]=size(PP);


% sigma=median;          %%%%%%  高斯函数的宽度

for i=1:g1
    for j=1:M
        phi(i,j)=exp(-norm( PP(i,:) - center(j,:) )^2 / (2*sigma^2) );  %%%径向基
    end    
end
% t=50;
% for i=1:t
    onceresult=phi*weight;  %%% onceresult每一列为一次循环后的结果
    resresult=onceresult;
%     [m,n]=max(onceresult(:,:,t)');
%     
%     rate(t)=sum(n==res)/g1;
%     
%     t=t+1;
% end