## Abstract Estimation of evapotranspiration (ET) requires a knowledge of the values of many climatic variables, some of which require special equipment and careful observations. Although ET is an important component of water balance, the data required for its accurate estimation are commonly avail
Artificial neural networks approach in evapotranspiration modeling: a review
β Scribed by M. Kumar; N. S. Raghuwanshi; R. Singh
- Publisher
- Springer
- Year
- 2010
- Tongue
- English
- Weight
- 370 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0342-7188
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## Abstract Evapotranspiration (ET) is one of the basic components of the hydrologic cycle and is essential for estimating irrigation water requirements. In this study, an artificial neural network (ANN) model for reference evapotranspiration (ET~0~) calculation was investigated. ANNs were trained
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