离散Hopfield神经网络的联想记忆-数字识别
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1.实现1,2在加噪声之后的识别
array_one=[-1 -1 -1 -1 1 1 -1 -1 -1 -1;-1 -1 -1 -1 1 1 -1 -1 -1 -1;... -1 -1 -1 -1 1 1 -1 -1 -1 -1;-1 -1 -1 -1 1 1 -1 -1 -1 -1;...
-1 -1 -1 -1 1 1 -1 -1 -1 -1;-1 -1 -1 -1 1 1 -1 -1 -1 -1; ...
-1 -1 -1 -1 1 1 -1 -1 -1 -1;-1 -1 -1 -1 1 1 -1 -1 -1 -1;...
-1 -1 -1 -1 1 1 -1 -1 -1 -1;-1 -1 -1 -1 1 1 -1 -1 -1 -1];
array_two=[-1 1 1 1 1 1 1 1 1 -1;-1 1 1 1 1 1 1 1 1 -1;...
-1 -1 -1 -1 -1 -1 -1 1 1 -1;-1 -1 -1 -1 -1 -1 -1 1 1 -1;...
-1 1 1 1 1 1 1 1 1 -1;-1 1 1 1 1 1 1 1 1 -1;...
-1 1 1 -1 -1 -1 -1 -1 -1 -1;-1 1 1 -1 -1 -1 -1 -1 -1 -1;...
-1 1 1 1 1 1 1 1 1 -1;-1 1 1 1 1 1 1 1 1 -1 ];
T=[array_one;array_two]';
net=newhop(T);
noisy_array_one=array_one;
noisy_array_two=array_two;
for i=1:100
a=rand;
if a<0.1
noisy_array_one(i)=-array_one(i);
noisy_array_two(i)=-array_two(i);
end
end
noisy_one={(noisy_array_one)'};
identify_one=sim(net,{10,10},{},noisy_one);
identify_one{10}'
noisy_two={(noisy_array_two)'};
identify_two=sim(net,{10,10},{},noisy_two);
identify_two{10}'
subplot(3,2,1)
Array_one=imresize(array_one,20);
imshow(Array_one)
title('standard number 1')
subplot(3,2,2)
Array_two=imresize(array_two,20);
imshow(Array_two)
title('standard number 2')
subplot(3,2,3)
Noisy_array_one=imresize(noisy_array_one,20);
imshow(Noisy_array_one)
title('noisy number 1')
subplot(3,2,4)
Noisy_array_two=imresize(noisy_array_two,20);
imshow(Noisy_array_two)
title('noisy number 2')
subplot(3,2,5)
imshow(imresize(identify_one{10}',20))
title('identify number 1')
subplot(3,2,6)
imshow(imresize(identify_two{10}',20))
title('identify number 2')
standard number 1standard number 2
noisy number 1noisy number 2
identify number 1identify number 2