Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration

Accurately predicting reference evapotranspiration (ET(0)) with limited climatic data is crucial for irrigation scheduling design and agricultural water management. This study evaluated eight machine learning models in four categories, i.e. neuron-based (MLP, GRNN and ANFIS), kernel-based (SVM, KNEA...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Lifeng, Fan, Junliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544265/
https://www.ncbi.nlm.nih.gov/pubmed/31150448
http://dx.doi.org/10.1371/journal.pone.0217520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6544265/
https://www.ncbi.nlm.nih.gov/pubmed/31150448
http://dx.doi.org/10.1371/journal.pone.0217520

Ejemplares similares