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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| 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 |