文献
J-GLOBAL ID:201802228948508155
整理番号:18A1616313
極端学習機械統合ISM-AHPに基づく生産予測と省エネルギーモデル:複雑な化学プロセスへの応用【JST・京大機械翻訳】
Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes
著者 (8件):
Geng Zhiqiang
(College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, China)
,
Geng Zhiqiang
(Engineering Research Center of Intelligent PSE, Ministry of Education in China, Beijing, China)
,
Li Hongda
(College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, China)
,
Li Hongda
(Engineering Research Center of Intelligent PSE, Ministry of Education in China, Beijing, China)
,
Zhu Qunxiong
(College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, China)
,
Zhu Qunxiong
(Engineering Research Center of Intelligent PSE, Ministry of Education in China, Beijing, China)
,
Han Yongming
(College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, China)
,
Han Yongming
(Engineering Research Center of Intelligent PSE, Ministry of Education in China, Beijing, China)
資料名:
Energy
(Energy)
巻:
160
ページ:
898-909
発行年:
2018年
JST資料番号:
H0631A
ISSN:
0360-5442
CODEN:
ENEYDS
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)