文献
J-GLOBAL ID:202202285343538297
整理番号:22A0566360
河川における懸濁堆積物に対する予測可能性強化:新たに開発したハイブリッド適応ニューロファジィシステムモデルの検査【JST・京大機械翻訳】
Predictability performance enhancement for suspended sediment in rivers: Inspection of newly developed hybrid adaptive neuro-fuzzy system model
著者 (9件):
Adnan Rana Muhammad
(State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, 210098, China)
,
Yaseen Zaher Mundher
(Department of Urban Planning, Engineering Networks and Systems, Institute of Architecture and Construction, South Ural State University, 76, Lenin Prospect, 454080 Chelyabinsk, Russia)
,
Yaseen Zaher Mundher
(New Era and Development in Civil Engineering Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, 64001, Iraq)
,
Heddam Salim
(Faculty of Science, Agronomy Department, Hydraulics Division University, 20 Aout 1955, Route El Hadaik, BP 26, Skikda, Algeria)
,
Shahid Shamsuddin
(School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, 81310, Malaysia)
,
Sadeghi-Niaraki Aboalghasem
(Geoinformation Tech. Center of Excellence, Faculty of Geomatics Engineering, K.N.Toosi University of Technology, Tehran, Iran)
,
Sadeghi-Niaraki Aboalghasem
(Department of Computer Science and Engineering, Sejong University, Seoul, Republic of Korea)
,
Kisi Ozgur
(School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, 81310, Malaysia)
,
Kisi Ozgur
(Civil Engineering Department, Ilia State University, Tbilisi, Georgia, USA)
資料名:
International Journal of Sediment Research
(International Journal of Sediment Research)
巻:
37
号:
3
ページ:
383-398
発行年:
2022年
JST資料番号:
W3361A
ISSN:
1001-6279
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)