hp1.asv

bp神经网络识别数字

% Example92Tr
clc;
clear  all；% 定义各目标向量
t7=[0 0 0 0 0 0 0 ...
    0 0 0 0 0 0 0 ...
    1 1 1 1 1 0 0 ...
    1 1 1 1 1 0 0 ...
    1 1 1 1 1 0 0 ...
    1 1 1 0 0 1 1 ...
    1 1 1 0 0 1 1 ...
    1 1 1 0 0 1 1]';
t5=[0 0 0 0 0 0 1 ...
    0 0 0 0 0 0 1 ...
    0 0 1 1 1 1 1 ...
    0 0 1 1 1 1 1 ...
    1 0 0 0 0 1 1 ...
    1 1 1 1 1 0 0 ...
    1 1 1 1 1 0 0 ...
    0 0 0 0 0 1 1]';
t4=[0 0 1 1 0 0 1...
    0 0 1 1 0 0 1...
    0 0 1 1 0 0 1...
    0 0 1 1 0 0 1...
    0 0 0 0 0 0 1...
    0 0 0 0 0 0 1...
    1 1 1 1 0 0 1...
    1 1 1 1 0 0 1]';
t9=[1 1 1 0 0 1 1...
    1 0 0 1 1 0 0...
    1 0 0 1 1 0 0...
    1 0 0 1 1 0 0...
    1 1 0 0 0 0 0...
    1 1 1 1 1 0 0...
    1 1 1 1 1 0 0...
    1 11  1 1 0 0]';
T=[t7  t5  t4  t9];% 形成总的目标向量
        % 设计Hopfield网络net= newhop（T）;
% 存储训练后的Hopfield神经网络
save net92 net；