Modeling of Reference Crop Evapotranspiration in Wet and Dry Climates Using Data-Mining Methods and Empirical Equations
In the present study, performance of data-mining methods in modeling and estimating reference crop evapotranspiration (ETo) is investigated. To this end, different machine learning, including Artificial Neural Network (ANN), M5 tree, Multivariate Adaptive Regression Splines (MARS), Least Square Supp...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Pouyan Press
2022-01-01
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| Series: | Journal of Soft Computing in Civil Engineering |
| Subjects: | |
| Online Access: | http://www.jsoftcivil.com/article_142667_70e1c9321ac7062a89ddd7a7ac218771.pdf |