文献
J-GLOBAL ID:202102214344928030
整理番号:21A2694021
歴史的評価と深層学習予測に基づく大気汚染防止政策の有効性の分析:中国におけるChengdu-Chongqing地域の事例研究【JST・京大機械翻訳】
Analysis of the Effectiveness of Air Pollution Control Policies Based on Historical Evaluation and Deep Learning Forecast: A Case Study of Chengdu-Chongqing Region in China
著者 (4件):
Gao Hao
(Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)
,
Yang Weixin
(Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)
,
Wang Jiawei
(Business School, University of Shanghai for Science and Technology, Shanghai 200093, China)
,
Zheng Xiaoyun
(Department of Reference Services, Tongji University Libraries, Tongji University, Shanghai 200092, China)
資料名:
Sustainability (Web)
(Sustainability (Web))
巻:
13
号:
1
ページ:
206
発行年:
2020年
JST資料番号:
U7281A
ISSN:
2071-1050
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)