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Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction
Authors:Ehteram  Mohammad  Ahmed  Ali Najah  Latif  Sarmad Dashti  Huang  Yuk Feng  Alizamir  Meysam  Kisi  Ozgur  Mert  Cihan  El-Shafie  Ahmed
Institution: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
;3.Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), 43000, Kajang, Selangor, Malaysia
;4.Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, 43000 Kajang, Selangor, Malaysia
;5.Department of Civil Engineering, Hamedan Branch, Islamic Azad University, Hamedan, Iran
;6.Department of Civil Engineering, Ilia State University, Tbilisi, Georgia
;7.Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam
;8.Faculty of Computer Technologies and Engineering, International Black Sea University, Tbilisi, Georgia
;9.Department of Civil Engineering, Faculty of Engineering, University of Malaya (UM), 50603 Kuala Lumpur, Malaysia
;10.National Water Center, United Arab Emirates University (UAEU), 15551, Al Ain, United Arab Emirates
;
Abstract:Environmental Science and Pollution Research - There is a need to develop an accurate and reliable model for predicting suspended sediment load (SSL) because of its complexity and difficulty in...
Keywords:
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