文献
J-GLOBAL ID:201902232129874516
整理番号:19A1811890
修正転送エントロピーによるプロセス知識を統合した新しい因果的ネットワークモデリング法:複雑な化学プロセスの事例研究【JST・京大機械翻訳】
Novel Causal Network Modeling Method Integrating Process Knowledge with Modified Transfer Entropy: A Case Study of Complex Chemical Processes
著者 (8件):
Zhu Qun-Xiong
(College of Information Science & Technology, Beijing University of Chemical Technology, China)
,
Zhu Qun-Xiong
(Engineering Research Center of Intelligent PSE, Ministry of Education of China, China)
,
Meng Qian-Qian
(College of Information Science & Technology, Beijing University of Chemical Technology, China)
,
Meng Qian-Qian
(Engineering Research Center of Intelligent PSE, Ministry of Education of China, China)
,
Wang Ping-Jiang
(College of Information Science & Technology, Beijing University of Chemical Technology, China)
,
Wang Ping-Jiang
(Engineering Research Center of Intelligent PSE, Ministry of Education of China, China)
,
He Yan-Lin
(College of Information Science & Technology, Beijing University of Chemical Technology, China)
,
He Yan-Lin
(Engineering Research Center of Intelligent PSE, Ministry of Education of China, China)
資料名:
Industrial & Engineering Chemistry Research
(Industrial & Engineering Chemistry Research)
巻:
56
号:
48
ページ:
14282-14289
発行年:
2017年
JST資料番号:
C0385C
ISSN:
0888-5885
CODEN:
IECRED
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)