fitness1.m

利用matlab编写的求解融合后的图像的评价函数

function [net]=gatrain(net,image11,image22)
     image1=imread('image11.gif');
     image2=imread('image22.gif');
     bounds=ones(121,1)*[0 1];
     initPop=initializega(121,bounds,'');
     [a,b]=size(initPop);
     
     [p,endPop,bPop,trace]=ga(bounds,'fitness1',[],initPop,[1e-6 1 1],'maxGenTerm',25,'normGeomSelect',[0.08],['arithXover'],[2],'nonUnifMutation',[2 25 3]);
     
     for i=1:121 
         x(i)=endPop(1,i); 
     end;
     for i=1:6
         for j=1:9
             net.LW{4,2}(i,j)=x(1,(i-1)*9+j);
         end;
     end;
     for i=1:6
         for j=1:9
             net.LW{4,3}(i,j)=x(1,54+(i-1)*9+j);
         end;
     end;
     for i=1:3
         net.LW{7,5}(1,i)=x(1,108+i);
     end;
     for i=1:3
         net.LW{7,6}(1,i)=x(1,111+i);
     end;
     for i=1:6
         net.b{4,1}(i,1)=x(1,114+i);
     end;
     net.b{7,1}=[x(121)];