%模糊神經(jīng)網(wǎng)絡(luò)逼近函數(shù)
clear?all
close?all
rank=8;
step=20;%循環(huán)次數(shù)
FF2=zeros（2*rank1）;
W=ones（1rank*rank）;%權(quán)值
WK1=W;
WK2=W;
WW=zeros（rank*rank1）;
gama=0.618;%記憶權(quán)值
beta=0.7;%學(xué)習(xí)步長(zhǎng)
for?x1=-1:0.1:1
????for?x2=-1:0.1:1
????????%第一層的輸入
????????input1=[x1x2]‘;
????????FF2=[-1?-0.7?-0.4?-0.1?0.1?0.4?0.7?1;?-1?-0.7?-0.4?-0.1?0.1?0.4?0.7?1];
????????width=[0.7?0.7?0.7?0.7?0.7?0.7?0.7?0.7??;0.7?0.7?0.7?0.7?0.7?0.7?0.7?0.7??];%隸屬度寬度
????????XX2=zeros（length（input1）rank）;
????????for?i=1:length（input1）
????????????for?j=1:rank
????????????????XX2（ij）=-（input1（i）-FF2（ij））^2/width（ij）^2;
????????????end
????????end;
????????miu=exp（XX2）;
????????for?i=1:length（input1）
????????????for?j=1:rank
????????????????if?miu（ij）<0.1
????????????????????miu（ij）=0;
????????????????end
????????????end
????????end?
????????FF3=zeros（rankrank）;
????????for?i=1:rank
????????????for?j=1:rank
????????????????FF3（ij）=min（miu（1i）miu（2j））;
????????????end
????????end;
????????FF4=zeros（rankrank）;
????????temp=0;
????????for?i=1:rank
????????????for?j=1:rank
????????????????temp=temp+FF3（ij）;
????????????end
????????end
????????for?i=1:rank
????????????for?j=1:rank
????????????????FF4（ij）=FF3（ij）/temp;
????????????end
????????end
????????XX4=zeros（rank*rank1）;
????????XX4=reshape（FF4rank*rank1）;
????????t=sin（x1*pi）*sin（pi*x2）;
????????for?train=1:step
????????????YY=W*XX4;
????????????for?j=1:length（W）
????????????????W（j）=WK1（j）+beta*（t-YY）*XX4（j）+gama*（WK1（j）-WK2（j））;
????????????end
????????????WK2=WK1;
????????????WK1=W;
????????end
????????WW=[WWW‘];
????end

end
%訓(xùn)練結(jié)束
YY=0;
GG=0;
K