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Forecasting of Reference Evapotranspiration by Artificial Neural Networks

✍ Scribed by Trajkovic, Slavisa; Todorovic, Branimir; Stankovic, Miomir


Book ID
124060654
Publisher
American Society of Civil Engineers
Year
2003
Tongue
English
Weight
53 KB
Volume
129
Category
Article
ISSN
0733-9437

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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