多维非线性函数辨识程序的matlab程序.m

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% 【12】多维非线性函数辨识程序的Matlab程序

w10ij=[.01 .01 .02; .01 .01 .02; .01 0 .01; .001 .001 .002;.001 0 .002; .0011 .001 .001] ; 
w11ij=[-.1 -.02 .11; -.21 .10 -.19; -.14 .15 -.16; .14 -.13 .17; -.13 .12 .21; -.16 -.23 .13]; 
w20j=[.01;.02;.1;.2;.1;.1]; 
w21j=[.18;.9;.9;.7;.8;.9]; 
q0j=[.5 .8 .4 .6 .1 .2 ]; 
q1j=[-.1 .02 .12 .14 -.02 .02]; 
q2j=0; % threshold value
p0=.2;
k1=1;
p1=.1;
w23j=[0;0;0;0;0;0];w22j=0;
w=0;
xj=[0.5 0.3 0.2]; % inputs 
ya=[0 0 0]; yp=0; yy=0; m1=0;yam=0;yp1=0; qw=0; 
yo=[0 0 0]; ya1=0;
error=0.0001;
n=1; q=0;
e1=0;
e0=0;
e2=0;
e3=0;
e4=0;
yo=0;
ya=0;
yb=0;
y0=0;
y1=0;
y2=0;
y3=0;
u=0;
u1=0;
u2=0;
k1=1;w0=1;
kn=28;dj2=0.01;
e3=.0055; a1=0.036; a2=0.036; a3=0.08;w0=1;dj2=0.01;
%+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
for m=1:36
for n=1:36
q=pi*0.05*m;
p=pi*0.02*n;
yn=cos(2*q+2*p)*sin(2*p);
yzs=0.1*yn;
%xj=[0.4+yzs 0.3 0.2]; %协调器使网络的输入随样本动态变化
yp=yn;
for k=1:6
% calculating output of the hidden layer
for i=1:6
x1=[w11ij(i,1)*xj(:,1)]+[w11ij(i,2)*xj(:,2)]+[w11ij(i,3)*xj(:,3)];
x=x1+q1j(:,i);
o=tanh(x);
o1j(i)=o;
end
% calculating output of the output layer
for i=1:3
yb=yb+w21j(i,*o1j(:,i);
end
yi=yb+p1;
y=tanh(yi);

% calculating error value between aim and practice value 
e0=e1;
e1=e2;
e2=[(yp-y).^2]/2;
% revising right value 
for i=1:6
d1=[1-o1j(:,i)]*dj2*w23j(i,;%计算隐层误差反传信号
do=o1j(:,i)*d1;
q3j(:,i)=q1j(i);
for j=1:3
dw=w11ij(i,j)-w10ij(i,j);
if e2<0.004, a1=0;a2=0;a3=0; else, a1=0.022; a2=0.03;a3=0.003;end;
w12ij=w11ij(i,j)+a1*do*xj(j)+a2*dw+a3*w;
w13ij(i,j)=w12ij;
end
end 
w10ij=w11ij;

w11ij=w13ij;
q0j=q1j;
q1j=q3j;
w=yp-y; w0=w;
w=0.36*w0+(yp-y); %计算积累误差w 
if e2<0.004, w=0.78*w; end
for i=1:6
d2j=y*(1-y)*(yp-y);%计算输出层误差反传信号
dw=w21j(i,-w20j(i,;
w22j=w21j(i,+0.132*d2j*o1j(i)+0.26*dw;+0.026*w;
w23j(i,=w22j;
end
w20j=w21j;
w21j=w23j;
ph=p1-p0;

p2=p1+.3*(yp-y)+.102*ph;
p0=p1;
p1=p2;

if e2<=0.005 break;
else
end
end
ypp(m,n)=yn;
yom(m,n)=y;
e3(m,n)=e2;
end, m2=m, end
w11ij=w13ij
w21j=w23j
%grapher
subplot(2,2,1);
%plot3(m,n,ypp);
mesh(ypp)
xlabel('m'),ylabel('n'),zlabel('ypp')
title('Identified model by inp. algorithm')

subplot(2,2,2);
%plot3(m,n,yom);
mesh(yom)
xlabel('m'),ylabel('n'),zlabel('yom');

subplot(2,1,2);
%plot3(m,n,yom);
mesh(e3)
xlabel('m'),ylabel('n'),zlabel('e3');