文献
J-GLOBAL ID:202202262059138460
整理番号:22A1171993
線形相関再構成と長期短期記憶に基づく原因駆動河川流量予測フレームワーク【JST・京大機械翻訳】
Cause-driven Streamflow Forecasting Framework Based on Linear Correlation Reconstruction and Long Short-term Memory
著者 (5件):
Lian Yani
(State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an, Shaanxi, China)
,
Luo Jungang
(State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an, Shaanxi, China)
,
Xue Wei
(Hanjiang-To-Weihe River Water Diversion, Project Construction Co. Ltd, Shaanxi Province, Xi’an, Shaanxi, China)
,
Zuo Ganggang
(State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an, Shaanxi, China)
,
Zhang Shangyao
(State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an, Shaanxi, China)
資料名:
Water Resources Management
(Water Resources Management)
巻:
36
号:
5
ページ:
1661-1678
発行年:
2022年
JST資料番号:
T0430A
ISSN:
0920-4741
CODEN:
WRMAEJ
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)