文献
J-GLOBAL ID:202202217631149440
整理番号:22A0729792
地下水レベル予測のための改良型アルファ誘導灰色オオカミ最適化器を用いたブースト人工知能モデル:連合学習技術のための比較研究と洞察【JST・京大機械翻訳】
Boosted artificial intelligence model using improved alpha-guided grey wolf optimizer for groundwater level prediction: Comparative study and insight for federated learning technology
著者 (9件):
Cui Fang
(Key Lab of Disasters Monitoring and Mechanism Simulating of Shannxi Province, Baoji University of Art & Sciences, Baoji 721013, Shannxi, PR China)
,
Cui Fang
(Geography and Environment Department, Baoji University of Art & Sciences, Baoji 721013, Shannxi, PR China)
,
Al-Sudani Zainab Abdulelah
(Water Resources Department, College of Engineering, University of Baghdad, Iraq)
,
Hassan Geehan Sabah
(College of Education For Women, Baghdad University, Baghdad, Iraq)
,
Afan Haitham Abdulmohsin
(Department of Civil Engineering, Al-Maarif University College, Ramadi 31001, Iraq)
,
Ahammed Sumaiya Jarin
(Department of Civil Engineering, International University of Business Agriculture and Technology, Dhaka 1230, Bangladesh)
,
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)
,
Yaseen Zaher Mundher
(College of Creative Design, Asia University, Taichung City, Taiwan)
資料名:
Journal of Hydrology
(Journal of Hydrology)
巻:
606
ページ:
Null
発行年:
2022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)