www.gusucode.com > 《MATLAB神经网络仿真与应用》[张德丰]的所有[程序源代码] > 第5章/li5_5.m
net=newlin([-1 1],1,[0 1],0.01); P1={0 -1 1 1 0 -1 1 0 0 1}; Y=sim(net,P1); Y T1={0 -1 0 2 1 -1 0 1 0 1}; [net,Y,E,Pf]=adapt(net,P1,T1); Y P2={1 0 -1 -1 1 1 1 0 -1}; T2={2 1 -1 -2 0 2 2 1 0}; [net,Y,E,Pf]=adapt(net,P2,T2); Y net=init(net); P3=[P1 P2]; T3=[T1 T2]; net.trainParam.epochs=200; net.trainParam.goal=0.1; net=train(net,P3,T3); Y=sim(net,[P1 P2]); Y