Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data
The accurate assessment of groundwater levels is critical to water resource management. With global warming and climate change, its significance has become increasingly evident, particularly in arid and semi-arid areas. This study compares new extreme learning machines (ELM) methods tuned with metah...
Main Authors: | Rana Muhammad Adnan, Hong-Liang Dai, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Ozgur Kisi, Salim Heddam, Mohammad Zounemat-Kermani |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2023-12-01
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Series: | Geocarto International |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/10106049.2022.2158951 |
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