bp5.m

MATLAB神经网络工具箱ＢＰ算法的比较

P = [0 1 2 3 4 5 6 7 8 9 10];
T = [0 1 2 3 4 3 2 1 2 3 4];
net = newff([0 10],[4,1],{'tansig','purelin'},'trainlm');
Y = sim(net,P);
figure;
plot(P,T,P,Y,'o')
net.trainParam.epochs =10000;
net.trainparam.show=10;
net.trainparam.lr=0.05;
net.trainparam.goal=0.001;
net = train(net,P,T);
Y = sim(net,P);
figure;
plot(P,T,P,Y,'o')