1. chapter9.m based program, the folder is set to MATLAB current working path, you can run. 2. Data0 to data9.mat is the corresponding matrix of number 0~9, and data1_noisy and data2_noisy are add noise matrixes of digital 1 and digital 2 respectively. 3. waiji.m design discrete Hopfield networks for external product (see the tenth chapter). 4., the program tested in the MATLAB2009a version, the individual functions in the lower version does not exist, or call the format is different, refer to the corresponding version of the help documentation can be modified.

离散Hopfield神经网络联想记忆-数字分类\chapter9.m
离散Hopfield神经网络联想记忆-数字分类\data0.mat
离散Hopfield神经网络联想记忆-数字分类\data1.mat
离散Hopfield神经网络联想记忆-数字分类\data1_noisy.mat
离散Hopfield神经网络联想记忆-数字分类\data2.mat
离散Hopfield神经网络联想记忆-数字分类\data2_noisy.mat
离散Hopfield神经网络联想记忆-数字分类\data3.mat
离散Hopfield神经网络联想记忆-数字分类\data4.mat
离散Hopfield神经网络联想记忆-数字分类\data5.mat
离散Hopfield神经网络联想记忆-数字分类\data6.mat
离散Hopfield神经网络联想记忆-数字分类\data7.mat
离散Hopfield神经网络联想记忆-数字分类\data8.mat
离散Hopfield神经网络联想记忆-数字分类\data9.mat
离散Hopfield神经网络联想记忆-数字分类\Readme.txt
离散Hopfield神经网络联想记忆-数字分类\waiji.m
离散Hopfield神经网络联想记忆-数字分类

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