文献
J-GLOBAL ID:202102252327146107
整理番号:21A0577038
エコ効率評価のための最適化モデルと結合した新しい機械学習アプローチ【JST・京大機械翻訳】
A Novel Machine Learning Approach Combined with Optimization Models for Eco-efficiency Evaluation
著者 (6件):
Mirmozaffari Mirpouya
(Department of Industrial Manufacturing and Systems Engineering, The University of Texas at Arlington, Arlington, TX 76019, USA)
,
Yazdani Maziar
(Faculty of Built Environment, University of New South Wales, Sydney, NSW 2052, Australia)
,
Boskabadi Azam
(Department of Finance and Management Science, Carson College of Business, Washington State University, Pullman, WA 99163, USA)
,
Dolatsara Hamidreza Ahady
(School of Management, Clark University, Worcester, MA 01610, USA)
,
Kabirifar Kamyar
(Faculty of Built Environment, University of New South Wales, Sydney, NSW 2052, Australia)
,
Golilarz Noorbakhsh Amiri
(School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)
資料名:
Applied Sciences (Web)
(Applied Sciences (Web))
巻:
10
号:
15
ページ:
5210
発行年:
2020年
JST資料番号:
U7135A
ISSN:
2076-3417
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)