Comparison of M5 Model Tree and Artificial Neural Network for Estimating Potential Evapotranspiration in Semi-arid Climates
Evaporation is a fundamental parameter in the hydrological cycle. This study examines the performance of M5model tree and artificial neural network (ANN) models in estimating potential evapotranspiration calculated byPenman- Monteith and Hargreaves- Samani equations. Daily weather data from two mete...
Kaydedildi:
| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
University of Tehran
2014-01-01
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| Seri Bilgileri: | Desert |
| Konular: | |
| Online Erişim: | https://jdesert.ut.ac.ir/article_51056_18be1c5019a9e79f2cea22dc7dce6490.pdf |
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