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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...
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| Gepubliceerd in: | PLoS One |
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| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6544265/ https://ncbi.nlm.nih.gov/pubmed/31150448 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0217520 |
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