[zah-zah]

أرجو المساعدة في معرفة تأثير تغير عدد الطبقات وعدد العصبونات ونوع ىتابع التفعيل وتغير معدل التعليم على الشبكة التالية وشكرا

w1=[0.52 0.41 0.12;0.22 0.61 0.21];
w2=[0.12 0.52 0.31;0.22 0.42 0.32;0.24 0.18 0.62];
w3=[0.31 0.32;0.32 0.24;0.42 0.31];
X=[0.04 0.03;0.09 0.12;0.13 0.21;0.16 0.23;0.20 0.25;0.75 0.75;0.81 0.83;0.85 0.84;0.91 0.89;0.95 0.92];
d=[1 1 1 1 1 0 0 0 0 0 ;0 0 0 0 0 1 1 1 1 1 ];
gama=0.36;
% Training loop
for k=1:10000
% presentation & Feed Forward Propagation
        k1=floor(length(X)*rand+1);        
        x=X(k1,:)
        s1=x*w1
        y1=1./(1+exp(-s1))
s2=y1*w2
y2=1./(1+exp(-s2))
so=y2*w3

do=d(:,k1)
        e=do-so'
delta_o=e     %output neurons are linears
delta_h=w3*delta_o.*(y2'.*(1-y2'))
delta_h2=w2*delta_h.*(y1'.*(1-y1'));
        d_w1=gama*x'*delta_h2';
        d_b1=gama*delta_h2;
        d_w2=gama*y1'*delta_h2';
        d_b2=gama*delta_h2;
        d_w3=gama*y2'*delta_o';
        d_b3=gama*delta_o;
         
        w1=w1+d_w1;
        w2=w2+d_w2;
        w3=w3+d_w3;
       
end
%test
for k1=1:length(X)
        x=X(k1,:);
        s1=x*w1;
        y1=1./(1+exp(-s1));
s2=y1*w2;
 y2=1./(1+exp(-s2));
 so=y2*w3;
yo=so;
x
yo
end

plot (x,yo)
k
w1=[0.52 0.41 0.12;0.22 0.61 0.21];
w2=[0.12 0.52 0.31;0.22 0.42 0.32;0.24 0.18 0.62];
w3=[0.31 0.32;0.32 0.24;0.42 0.31];
x1=input('Please Enter Point x1:');
x2=input('Please Enter Point x2:');
i=[x1 x2];
gama=0.36;
% Training loop
for k=1:10000
% presentation & Feed Forward Propagation
        k1=floor(length(X)*rand+1);        
        x=X(k1,:)
        s1=x*w1
        y1=1./(1+exp(-s1))
s2=y1*w2
y2=1./(1+exp(-s2))
so=y2*w3

do=d(:,k1)
        e=do-so'
delta_o=e     %output neurons are linears
delta_h=w3*delta_o.*(y2'.*(1-y2'))
delta_h2=w2*delta_h.*(y1'.*(1-y1'));
        d_w1=gama*x'*delta_h2';
        d_b1=gama*delta_h2;
        d_w2=gama*y1'*delta_h2';
        d_b2=gama*delta_h2;
        d_w3=gama*y2'*delta_o';
        d_b3=gama*delta_o;
         
        w1=w1+d_w1;
        w2=w2+d_w2;
        w3=w3+d_w3;
       
end
%test
for k1=1:length(X)
        x=X(k1,:);
        s1=x*w1;
        y1=1./(1+exp(-s1));
s2=y1*w2;
 y2=1./(1+exp(-s2));
 so=y2*w3;
yo=so;
x
yo
end
 s1=i*w1;
  y1=1./(1+exp(-s1));
s2=y1*w2;
 y2=1./(1+exp(-s2));
 so=y2*w3;
yo=so;
i
yo
e