Sensitive analysis of meteorological data and selecting appropriate machine learning model for estimation of reference evapotranspiration

Sensitive analysis of meteorological data and selecting appropriate machine learning model for estimation of reference evapotranspiration

Abstract This study applies three methods, Gene Expression Programming (GEP), M5 tree (M5T) model and optimized Artificial Neural Network by Genetic Algorithm (ANN-GA) for estimation of reference evapotranspiration in Ahvaz and Dezful in the southwest of Iran. Comparison between results of the FAO P...

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Bibliographic Details
Main Authors: Arash Adib, Seyed Shahab Oddin Kalantarzadeh, Mohammad Mahmoudian Shoushtari, Morteza Lotfirad, Ali Liaghat, Masoud Oulapour
Format: Article
Language:English
Published: SpringerOpen 2023-02-01
Series:Applied Water Science
Subjects:
ANN-GA
GEP
M5T model
Reference evapotranspiration
The FAO Penman-Monteith method
Online Access:https://doi.org/10.1007/s13201-023-01895-5

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