Application of novel binary optimized machine learning models for monthly streamflow prediction

Abstract Accurate measurements of available water resources play a key role in achieving a sustainable environment of a society. Precise river flow estimation is an essential task for optimal use of hydropower generation, flood forecasting, and best utilization of water resources in river engineerin...

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Principais autores:	Rana Muhammad Adnan, Hong-Liang Dai, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Ozgur Kisi, Ahmed Elbeltagi, Mohammad Zounemat-Kermani
Formato:	Artigo
Idioma:	Inglês
Publicado em:	SpringerOpen 2023-04-01
coleção:	Applied Water Science
Assuntos:	Streamflow prediction Extreme learning machine Particle swarm optimization Grey wolf optimization Simulated annealing
Acesso em linha:	https://doi.org/10.1007/s13201-023-01913-6
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