CORC  > 中南大学
Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR
Yuan, Xiaofeng; Ge, Zhiqiang; Huang, Biao*; Song, Zhihuan; Wang, Yalin
刊名IEEE Transactions on Industrial Informatics
2017
卷号13期号:2页码:532-541
关键词Just-in-time learning (JITL) probabilistic principal component regression (PPCR) quality prediction soft sensor semisupervised learning (SSL)
ISSN号1551-3203
DOI10.1109/TII.2016.2610839
URL标识查看原文
WOS记录号WOS:000399961500012;EI:20171803618630
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3320975
专题中南大学
作者单位1.[Yuan, Xiaofeng
2.Wang, Yalin] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China.
推荐引用方式
GB/T 7714
Yuan, Xiaofeng,Ge, Zhiqiang,Huang, Biao*,et al. Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR[J]. IEEE Transactions on Industrial Informatics,2017,13(2):532-541.
APA Yuan, Xiaofeng,Ge, Zhiqiang,Huang, Biao*,Song, Zhihuan,&Wang, Yalin.(2017).Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR.IEEE Transactions on Industrial Informatics,13(2),532-541.
MLA Yuan, Xiaofeng,et al."Semisupervised JITL Framework for Nonlinear Industrial Soft Sensing Based on Locally Semisupervised Weighted PCR".IEEE Transactions on Industrial Informatics 13.2(2017):532-541.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace