Metaheuristic algorithms applied in ANN salinity modelling

• Main Authors: Khudhair, Zahraa S., Zubaidi, Salah L., Dulaimi, Anmar, Al-Bugharbee, Hussein, Muhsen, Yousif Raad, Putra Jaya, Ramadhansyah, Mohammed Ridha, Hussein, Raza, Syed Fawad, Ethaib, Saleem
• Format: Article
• Language: English
• Published: Elsevier B.V. 2024
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/41923/1/Metaheuristic%20algorithms%20applied%20in%20ANN.pdf; http://umpir.ump.edu.my/id/eprint/41923/; https://doi.org/10.1016/j.rineng.2024.102541

Salinity is a classic problem in planning the quality of freshwater resources management. Recent studies related to hybrid machine learning models have shown it's capability to simulate salinity dynamics. However, previous studies of metaheuristic algorithms have not dealt with comparing single...