matlab

求教构建BP神经网络

2019-07-17 14:32发布

站内问答 / matlab
18396 1 1504
P= [2 1 4 2 1 3 1 3 1 3 1 1 2 1 1 1 4 2 1 3 1 2 1 4 2 1 3 1 2 1 4 2 1 3 1 3 1 3 1 1 2 1 1 1 4 2 1 3 1 2 1 4 2 1 3 1 2 1 4 2 1     3 1 3 1 3 1 1 2 1 1 1 4 2 1 3 1 2 1 4 2 1 3 1 2 1 4 2 1 3 1 3 1 3 1 1 2 1 1 1 4 2 1 3 1 2 1 4 2 1 3 1;
       3 0 3 1 2 0 3 3 0 3 1 2 0 3 3 0 2 1 2 0 3 3 0 1 0 2 0 2 3 0 3 1 2 0 3 3 0 3 1 2 0 3 3 0 2 1 2 0 3 3 0 1 0 2 0 2 3 0 3 1 2 0 3 3 0 3 1 2 0 3 3 0 2 1 2 0 3 3 0 1 0 2 0 2 3 0 3 1 2 0 3 3 0 3 1 2 0 3 3 0 2 1 2 0 3 3 0 1 0 2 0 2;
       1 1 0 0 1 1 0 1 4 0 0 3 1 0 1 5 0 0 4 2 0 2 3 0 0 0 3 0 1 1 0 0 1 1 0 1 4 0 0 3 1 0 1 5 0 0 4 2 0 2 3 0 0 0 3 0 1 1 0 0 1 1 0 1 4 0 0 3 1 0 1 5 0 0 4 2 0 2 3 0 0 0 3 0 1 1 0 0 1 1 0 1 4 0 0 3 1 0 1 5 0 0 4 2 0 2 3 0 0 0 3 0];
T=    [1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0;  
       0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0;
       0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0;
       0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0;
       0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0;
       0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0;
       0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 1];
net=newff(minmax(P),[3,8,7],{'logsig','tansig','logsig'},'traingdx');
net.trainParam.show=49;
net.trainParam.lr=0.05;
net.trainParam.epochs=2500;
net.trainParam.goal=0.001;
traingdx(net,P,T);
请问为什么我的网络训练总是不正确




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1条回答
海栀子
1楼-- · 2019-07-17 18:43
你试试 训练网络
net=train(net,p,t)

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