文献
J-GLOBAL ID:202102253101861288
整理番号:21A2971745
マルチスケール解析と逐次構造を持つ深層ネットワークに基づく月流出予測のための複合アプローチ【JST・京大機械翻訳】
A Compound Approach for Monthly Runoff Forecasting Based on Multiscale Analysis and Deep Network with Sequential Structure
著者 (5件):
Chen Shi
(College of Water Resources and Architectural Engineering, Northwest A&F University, Yanglin 712100, China)
,
Chen Shi
(Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yanglin 712100, China)
,
Dong Shuning
(Xi’an Research Institute of China Coal Technology & Engineering Group Corp, Xi’an 710054, China)
,
Cao Zhiguo
(State Key Laboratory of Water Resources Protection and Utilization in Coal Mining, Beijing 100011, China)
,
Guo Junting
(State Key Laboratory of Water Resources Protection and Utilization in Coal Mining, Beijing 100011, China)
資料名:
Water (Web)
(Water (Web))
巻:
12
号:
8
ページ:
2274
発行年:
2020年
JST資料番号:
U7295A
ISSN:
2073-4441
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)