e2.m

bp神经网络识别数字

%创立和训练BP神经网
%Example51Tr
clear all;
clc;
p = [1 2;-1 1;-2 1;-4 0]';
t = [0.2 0.8 0.8 0.2];
net=newff([-1 1;-1 1],[5 1],{'logsig','logsig'},'traingd');
net.trainParam.goal = 0.001;
net.trainParam.epochs = 5000;
[net,tr]=train(net,p,t);
% 输出训练后的权值和阈值
iw1=net.IW{1}
b1=net.b{1}
lw2=net.LW{2}
b2=net.b{2}
% 存储训练好的神经网络
save net51 net;