文献
J-GLOBAL ID:201702269051234436
整理番号:17A0412500
貯水池流入量予測における累積誤差低減のための改良されたThomas Fieringとウェーブレットニューラルネットワークモデル【Powered by NICT】
Improved Thomas-Fiering and wavelet neural network models for cumulative errors reduction in reservoir inflow forecast
著者 (8件):
Cui Quan
(State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)
,
Cui Quan
(Key Laboratory for Water and Sediment Sciences of Ministry of Education, School of Environment, Beijing Normal University, Beijing 100875, China)
,
Wang Xuan
(State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)
,
Wang Xuan
(Key Laboratory for Water and Sediment Sciences of Ministry of Education, School of Environment, Beijing Normal University, Beijing 100875, China)
,
Li Chunhui
(Key Laboratory for Water and Sediment Sciences of Ministry of Education, School of Environment, Beijing Normal University, Beijing 100875, China)
,
Cai Yanpeng
(State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China)
,
Cai Yanpeng
(Institute for Energy, Environment and Sustainable Communities, University of Regina, Saskatchewan, Canada)
,
Liang Peiyu
(Zhejiang Institute of hydraulics & Estuary, Hangzhou 310020, China)
資料名:
Journal of Hydro-Environment Research
(Journal of Hydro-Environment Research)
巻:
13
ページ:
134-143
発行年:
2016年
JST資料番号:
W2369A
ISSN:
1570-6443
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)