Comparing three types of data-driven models for monthly evapotranspiration prediction under heterogeneous climatic conditions

Evapotranspiration is one of the most important hydro-climatological components which directly affects agricultural productions. Therefore, its forecasting is critical for water managers and irrigation planners. In this study, adaptive neuro-fuzzy inference system (ANFIS) model has been hybridized b...

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Detalles Bibliográficos
Autores principales: Aghelpour, Pouya, Varshavian, Vahid, Khodamorad Pour, Mehraneh, Hamedi, Zahra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576755/
https://www.ncbi.nlm.nih.gov/pubmed/36253432
http://dx.doi.org/10.1038/s41598-022-22272-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576755/
https://www.ncbi.nlm.nih.gov/pubmed/36253432
http://dx.doi.org/10.1038/s41598-022-22272-3

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