Pan evaporation estimation by relevance vector machine tuned with new metaheuristic algorithms using limited climatic data

This study investigates the feasibility of a relevance vector machine tuned with improved Manta-Ray foraging optimization (RVM-IMRFO) in predicting monthly pan evaporation using limited climatic input data (e.g. temperature). The accuracy of the RVM-IMRFO was evaluated by comparing it with RVM tuned...

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Detalles Bibliográficos

Principais autores:	Rana Muhammad Adnan, Reham R. Mostafa, Hong-Liang Dai, Salim Heddam, Alban Kuriqi, Ozgur Kisi
Formato:	Artigo
Idioma:	Inglês
Publicado:	Taylor & Francis Group 2023-12-01
Series:	Engineering Applications of Computational Fluid Mechanics
Assuntos:	Pan evaporation prediction temperature-based modelling improved Manta-Ray foraging optimization relevance vector machine
Acceso en liña:	https://www.tandfonline.com/doi/10.1080/19942060.2023.2192258
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