bpprocess.txt
来自「神经网络程序,用MATLAB写的,TXT格式,在MATLAB的环境下运行」· 文本 代码 · 共 96 行
TXT
96 行
%建立输入和输出向量
clear all;
'Wait for a moment :'
for kk=0:9
switch kk
case 0
p=[0 1 1 0 1 0 0 1 1 0 0 1 1 0 0 1 0 1 1 0];
t=0;
case 1
p=[0 0 1 0 0 1 1 0 0 0 1 0 0 0 1 0 0 1 1 1];
t=1;
case 2
p=[0 1 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 1 1];
t=2;
case 3
p=[1 1 1 0 0 0 0 1 0 0 1 0 0 0 0 1 1 1 1 0];
t=3;
case 4
p=[1 0 1 0 1 0 1 0 1 1 1 1 0 0 1 0 0 0 1 0];
t=4;
case 5
p=[1 1 1 1 1 0 0 0 1 1 1 0 0 0 0 1 1 1 1 0];
t=5;
case 6
p=[0 1 1 1 1 0 0 0 1 1 1 0 1 0 0 1 0 1 1 0];
t=6;
case 7
p=[1 1 1 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0];
t=7;
case 8
p=[0 1 1 0 1 0 0 1 0 1 1 0 1 0 0 1 0 1 1 0];
t=8;
case 9
p=[0 1 1 0 1 0 0 1 0 1 1 1 0 0 0 1 1 1 1 1];
t=9;
otherwise
'error input!!!'
end
end
save JJPT;
%创建和训练网络
clear all;
load JJPT ;
net=newff([0 1], [10 1],{'logsig' 'purelin'}, 'traingdx', 'learngdm');
net.trainparam.epochs=1500;
net.trainparam.goal=0.001;
net.trainparam.show=10;
net.trainparam.lr=0.05;
net=train(net,p,t);
save JJNET;
%程序仿真
load JJPT;
load JJNET;
s=input('Input your data: ')
switch s
case 0
p=[0 1 1 0 1 0 0 1 1 0 0 1 1 0 0 1 0 1 1 0]
case 1
p=[0 0 1 0 0 1 1 0 0 0 1 0 0 0 1 0 0 1 1 1]
case 2
p=[0 1 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 1 1 1]
case 3
p=[1 1 1 0 0 0 0 1 0 0 1 0 0 0 0 1 1 1 1 0]
case 4
p=[1 0 1 0 1 0 1 0 1 1 1 1 0 0 1 0 0 0 1 0]
case 5
p=[1 1 1 1 1 0 0 0 1 1 1 0 0 0 0 1 1 1 1 0]
case 6
p=[0 1 1 1 1 0 0 0 1 1 1 0 1 0 0 1 0 1 1 0]
case 7
p=[1 1 1 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0]
case 8
p=[0 1 1 0 1 0 0 1 0 1 1 0 1 0 0 1 0 1 1 0]
case 9
p=[0 1 1 0 1 0 0 1 0 1 1 1 0 0 0 1 1 1 1 1]
otherwise
'error input!!!'
end
a=sim(net, p);
[m,b,r]=postreg(a,t)
a=round(a)
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