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

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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Bibliographic Details
Main Authors: Rana Muhammad Adnan, Reham R. Mostafa, Hong-Liang Dai, Salim Heddam, Alban Kuriqi, Ozgur Kisi
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Pan evaporation prediction
temperature-based modelling
improved Manta-Ray foraging optimization
relevance vector machine
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2023.2192258

Internet

https://www.tandfonline.com/doi/10.1080/19942060.2023.2192258

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