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Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm.

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第一作者： Fatemeh Barzegari,Banadkooki

第一单位： Agricultural Department, Payam Noor University, Tehran, Iran.

作者： Fatemeh Barzegari,Banadkooki ^[1] ; Mohammad,Ehteram ^[2] ; Ali Najah,Ahmed ^[3] ; Fang Yenn,Teo ^[4] ; Mahboube,Ebrahimi ^[1] ; Chow Ming,Fai ^[5] ; Yuk Feng,Huang ^[6] ; Ahmed,El-Shafie ^[7]

作者单位： Agricultural Department, Payam Noor University, Tehran, Iran. ^[1] Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, Iran. ^[2] Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional (UNITEN), 43000, Kajang, Selangor, Malaysia. mahfoodh@uniten.edu.my. ^[3] Faculty of Science and Engineering, University of Nottingham Malaysia, 43500, Semenyih, Selangor, Malaysia. ^[4] Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), 43000, Kajang, Selangor, Malaysia. ^[5] Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, 43200, Kajang, Selangor, Malaysia. ^[6] Department of Civil Engineering, Faculty of Engineering, University of Malaya (UM), 50603, Kuala Lumpur, Malaysia.;National Water Center, United Arab Emirates University, 15551, Al Ain, United Arab Emirates. ^[7]

关键词 Ant lion optimization Artificial neural network Bat algorithm Particle swarm optimization River suspended sediment load Sensitivity analysis

医学主题词算法(Algorithms);伊朗(Iran);偏差(Uncertainty)

DOI 10.1007/s11356-020-09876-w

PMID 32621196

发布时间 2020-09-15

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准确一般字义偏差语意偏离译文作用小提交