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Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression
Yuan, Xiaofeng; Ge, Zhiqiang*; Song, Zhihuan; Wang, Yalin; Yang, Chunhua; Zhang, Hongwei
刊名IEEE Transactions on Instrumentation and Measurement
2017
卷号66期号:4页码:837-845
关键词Just-in-time learning (JITL) principal component regression (PCR) probabilistic PCR (PPCR) soft sensor weighted PPCR (WPPCR)
ISSN号0018-9456
DOI10.1109/TIM.2017.2658158
URL标识查看原文
WOS记录号WOS:000396397900026;EI:20170803378987
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3333300
专题中南大学
作者单位1.[Yuan, Xiaofeng
2.Yang, Chunhua
3.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*,Song, Zhihuan,et al. Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression[J]. IEEE Transactions on Instrumentation and Measurement,2017,66(4):837-845.
APA Yuan, Xiaofeng,Ge, Zhiqiang*,Song, Zhihuan,Wang, Yalin,Yang, Chunhua,&Zhang, Hongwei.(2017).Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression.IEEE Transactions on Instrumentation and Measurement,66(4),837-845.
MLA Yuan, Xiaofeng,et al."Soft Sensor Modeling of Nonlinear Industrial Processes Based on Weighted Probabilistic Projection Regression".IEEE Transactions on Instrumentation and Measurement 66.4(2017):837-845.
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