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