Artificial neural network–genetic algorithm for estimation of crop evapotranspiration in a semi-arid region of Iran
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Title
Artificial neural network–genetic algorithm for estimation of crop evapotranspiration in a semi-arid region of Iran
Authors
Keywords
Cold semi-arid climate, Penman–Monteith FAO 56 model, Neural network–genetic algorithm, Nonlinear regression
Journal
NEURAL COMPUTING & APPLICATIONS
Volume 23, Issue 5, Pages 1387-1393
Publisher
Springer Nature
Online
2012-07-19
DOI
10.1007/s00521-012-1087-y
References
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- (2008) M. Jabloun et al. AGRICULTURAL WATER MANAGEMENT
- Performance Evaluation of Reference Evapotranspiration Estimation Using Climate Based Methods and Artificial Neural Networks
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- (2007) Sungwon Kim et al. JOURNAL OF HYDROLOGY
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