文献
J-GLOBAL ID:201802251879340753
整理番号:18A0440739
分散カーネル主成分分析とBayes推論を用いた非線形化学プロセスモニタリング【Powered by NICT】
Nonlinear chemical process monitoring using decentralized kernel principal component analysis and Bayesian inference
著者 (5件):
Cang Wentao
(Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, 214122, P. R. China)
,
Fu Yujia
(Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, 214122, P. R. China)
,
Xie Li
(Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, 214122, P. R. China)
,
Tao Hongfeng
(Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, 214122, P. R. China)
,
Yang Huizhong
(Key Laboratory of Advanced Process Control for Light Industry, Ministry of Education, Jiangnan University, Wuxi, 214122, P. R. China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ASCC
ページ:
1487-1492
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)