Reference Evapotranspiration Modeling Using New Heuristic Methods

Reference Evapotranspiration Modeling Using New Heuristic Methods

The study investigates the potential of two new machine learning methods, least-square support vector regression with a gravitational search algorithm (LSSVR-GSA) and the dynamic evolving neural-fuzzy inference system (DENFIS), for modeling reference evapotranspiration (ETo) using limited data. The...

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Bibliographic Details
Main Authors: Rana Muhammad Adnan, Zhihuan Chen, Xiaohui Yuan, Ozgur Kisi, Ahmed El-Shafie, Alban Kuriqi, Misbah Ikram
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Entropy
Subjects:
reference evapotranspiration
temperature input
least square support vector regression
gravitational search algorithm
dynamic evolving neural-fuzzy inference system
Online Access:https://www.mdpi.com/1099-4300/22/5/547

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https://www.mdpi.com/1099-4300/22/5/547

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