文献
J-GLOBAL ID:201702258453800646
整理番号:17A0442996
限られたデータを用いた流域における流量予測のための完全オンラインニューロファジィモデル【Powered by NICT】
A fully-online Neuro-Fuzzy model for flow forecasting in basins with limited data
著者 (6件):
Ashrafi Mohammad
(School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore)
,
Chua Lloyd Hock Chye
(School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore)
,
Chua Lloyd Hock Chye
(Current affiliation: School of Engineering, Faculty of Science Engineering & Built Environment, Deakin University, Locked Bag 20000, Geelong, Victoria 3220, Australia)
,
Quek Chai
(Computational Intelligence Laboratory, School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore)
,
Qin Xiaosheng
(School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore)
,
Qin Xiaosheng
(Environmental Process Modelling Centre (EPMC), Nanyang Environment and Water Research Institute (NEWRI), Nanyang Technological University, 1 Cleantech Loop, Singapore 637141, Singapore)
資料名:
Journal of Hydrology
(Journal of Hydrology)
巻:
545
ページ:
424-435
発行年:
2017年
JST資料番号:
C0584A
ISSN:
0022-1694
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)