完善资料让更多小伙伴认识你,还能领取20积分哦, 立即完善>
扫一扫,分享给好友
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 |
|
相关推荐
1个回答
|
|
|
|
|
|
你正在撰写答案
如果你是对答案或其他答案精选点评或询问,请使用“评论”功能。
1737 浏览 1 评论
200圆!求助大佬给一份VSG并网和离网模式的simulink仿真
2014 浏览 0 评论
MATLAB(3)--矩阵的引用(sub2ind、ind2sub、reshape函数使用)
2835 浏览 0 评论
3169 浏览 0 评论
4107 浏览 1 评论
小黑屋| 手机版| Archiver| 电子发烧友 ( 湘ICP备2023018690号 )
GMT+8, 2024-11-29 01:09 , Processed in 0.521610 second(s), Total 76, Slave 58 queries .
Powered by 电子发烧友网
© 2015 bbs.elecfans.com
关注我们的微信
下载发烧友APP
电子发烧友观察
版权所有 © 湖南华秋数字科技有限公司
电子发烧友 (电路图) 湘公网安备 43011202000918 号 电信与信息服务业务经营许可证:合字B2-20210191 工商网监 湘ICP备2023018690号