文献
J-GLOBAL ID:201702252741413515
整理番号:17A1093630
類似性に基づくロバスト確率潜在変数回帰モデルとプロセスモニタリングのためのそのカーネル拡張【Powered by NICT】
Similarity based robust probability latent variable regression model and its kernel extension for process monitoring
著者 (5件):
Zhou Le
(School of Automation and Electrical Engineering, Zhejiang University of Science & Technology, Hangzhou 310023, Zhejiang, China)
,
Chen Junghui
(Department of Chemical Engineering, Chung-Yuan Christian University, Chung-Li, Taoyuan, Taiwan 32023, Taiwan, R.O.C)
,
Yao Le
(State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, Zhejiang, China)
,
Song Zhihuan
(State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, Zhejiang, China)
,
Hou Beiping
(School of Automation and Electrical Engineering, Zhejiang University of Science & Technology, Hangzhou 310023, Zhejiang, China)
資料名:
Chemometrics and Intelligent Laboratory Systems
(Chemometrics and Intelligent Laboratory Systems)
巻:
161
ページ:
88-95
発行年:
2017年
JST資料番号:
E0150B
ISSN:
0169-7439
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)