fun_test3.m

人工神经网络资料

clear all
p = 1:0.5:10;
t = 1./p+0.1*randn(size(p));
net=newff(minmax(p),[20,1],{'tansig','purelin'},'trainbr');  % trainbr是贝叶斯修正
net.trainParam.show = 10;
net.trainParam.epochs = 50;
%randn('seed',192736547);
net = init(net);
[net,tr]=train(net,p,t);
p1=0:0.1:pi*2;
Y = sim(net,p);
figure(1)
plot(p,Y,'.');