文献
J-GLOBAL ID:202002268194057933
整理番号:20A0374369
シーケンス-シーケンス神経回路網を用いた物理的に一貫したソフトセンサ開発【JST・京大機械翻訳】
Physically Consistent Soft-Sensor Development Using Sequence-to-Sequence Neural Networks
著者 (8件):
Chou Cheng-Hung
(Department of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan)
,
Wu Haibin
(Graduate Institute of Communication Engineering, National Taiwan University, Taipei, Taiwan)
,
Kang Jia-Lin
(Department of Chemical and Materials Engineering, National Yunlin University of Science and Technology, Yunlin, Taiwan)
,
Wong David Shan-Hill
(Department of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan)
,
Yao Yuan
(Department of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan)
,
Chuang Yao-Chen
(Center for Energy and Environmental Research, National Tsing Hua University, Hsinchu, Taiwan)
,
Jang Shi-Shang
(Center for Energy and Environmental Research, National Tsing Hua University, Hsinchu, Taiwan)
,
Ou John Di-Yi
(Center for Energy and Environmental Research, National Tsing Hua University, Hsinchu, Taiwan)
資料名:
IEEE Transactions on Industrial Informatics
(IEEE Transactions on Industrial Informatics)
巻:
16
号:
4
ページ:
2829-2838
発行年:
2020年
JST資料番号:
W1434A
ISSN:
1551-3203
CODEN:
ITIICH
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)