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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Detalles Bibliográficos
Autores principales: Muhammad Adnan, Rana, Chen, Zhihuan, Yuan, Xiaohui, Kisi, Ozgur, El-Shafie, Ahmed, Kuriqi, Alban, Ikram, Misbah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517042/
https://www.ncbi.nlm.nih.gov/pubmed/33286320
http://dx.doi.org/10.3390/e22050547

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517042/
https://www.ncbi.nlm.nih.gov/pubmed/33286320
http://dx.doi.org/10.3390/e22050547

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