爱站程序员基地离散Hopfield神经网络的联想记忆——数字识别
%% 清空环境变量clear allclc%% 数据导入load data1 array_oneload data2 array_two%% 训练样本（目标向量）T = [array_one;array_two]\';%% 创建网络net = newhop(T);%% 数字1和2的带噪声数字点阵（固定法）load data1_noisy noisy_array_oneload data2_noisy noisy_array_two%% 数字1和2的带噪声数字点阵（随机法）% noisy_array_one=array_one;% noisy_array_two=array_two;% for i = 1:100% a = rand;% if a < 0.3% noisy_array_one(i) = -array_one(i);% noisy_array_two(i) = -array_two(i);% end% end%% 数字识别% 单步仿真——TS = 1(矩阵形式)% identify_one = sim(net,10,[],noisy_array_one\');% 多步仿真——元胞数组形式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}\';%% 结果显示Array_one = imresize(array_one,20);subplot(3,2,1)imshow(Array_one)title(\'标准(数字1)\')Array_two = imresize(array_two,20);subplot(3,2,2)imshow(Array_two)title(\'标准(数字2)\')subplot(3,2,3)Noisy_array_one = imresize(noisy_array_one,20);imshow(Noisy_array_one)title(\'噪声(数字1)\')subplot(3,2,4)Noisy_array_two = imresize(noisy_array_two,20);imshow(Noisy_array_two)title(\'噪声(数字2)\')subplot(3,2,5)imshow(imresize(identify_one{10}\',20))title(\'识别(数字1)\')subplot(3,2,6)imshow(imresize(identify_two{10}\',20))title(\'识别(数字2)\')
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