Artificial neural network models for estimating regional reference evapotranspiration based on climate factors
X Dai, H Shi, Y Li, Z Ouyang… - Hydrological Processes: An …, 2009 - Wiley Online Library
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 …
essential for estimating irrigation water requirements. In this study, an artificial neural …
Evaluation of random forests and generalized regression neural networks for daily reference evapotranspiration modelling
Y Feng, N Cui, D Gong, Q Zhang, L Zhao - Agricultural Water Management, 2017 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is of importance for regional
water resource management. The present study proposed two artificial intelligence models …
water resource management. The present study proposed two artificial intelligence models …
Artificial neural network models for reference evapotranspiration in an arid area of northwest China
Z Huo, S Feng, S Kang, X Dai - Journal of arid environments, 2012 - Elsevier
We trained and tested artificial neural network (ANN) models for reference
evapotranspiration (ET0) using 50 years' meteorological data from three stations in …
evapotranspiration (ET0) using 50 years' meteorological data from three stations in …
GANN models for reference evapotranspiration estimation developed with weather data from different climatic regions
Z Wang, P Wu, X Zhao, X Cao, Y Gao - Theoretical and applied …, 2014 - Springer
Accurate estimation of reference evapotranspiration (ET 0) becomes imperative for better
managing the more and more limited agricultural water resources. This study examined the …
managing the more and more limited agricultural water resources. This study examined the …
[PDF][PDF] Performance evaluation of artificial neural networks in estimating reference evapotranspiration with minimal meteorological data
MJ Diamantopoulou, PE Georgiou… - Global Nest …, 2011 - journal.gnest.org
Detailed meteorological data required for the equation of FAO-56 Penman-Monteith (PM)
method that was adopted by Food and Agriculture Organization (FAO) as a standard method …
method that was adopted by Food and Agriculture Organization (FAO) as a standard method …
Comparison of machine learning algorithms and hargreaves model for reference evapotranspiration estimation in sichuan basin
F Yu, CUI Ning-bo, G Dao-zhi - Chinese Journal of …, 2016 - zgnyqx.ieda.org.cn
Reference evapotranspiration (ET0) is an essential component of agricultural water
management, accurate estimation of ET0 is vital in irrigation scheduling. This study …
management, accurate estimation of ET0 is vital in irrigation scheduling. This study …
Comparison between M5 model tree and neural networks for estimating reference evapotranspiration in an arid environment
A Rahimikhoob - Water resources management, 2014 - Springer
This paper describes a detailed evaluation of the performance and characteristic behaviour
of feed-forward artificial neural network (ANN) and M5 model tree for estimating reference …
of feed-forward artificial neural network (ANN) and M5 model tree for estimating reference …
Machine learning models for the estimation of monthly mean daily reference evapotranspiration based on cross-station and synthetic data
The estimation of reference evapotranspiration (ET0) is important in hydrology research,
irrigation scheduling design and water resources management. This study explored the …
irrigation scheduling design and water resources management. This study explored the …
Generalized regression neural networks for evapotranspiration modelling
Ö KIŞI - Hydrological Sciences Journal, 2006 - Taylor & Francis
The potential is investigated of the generalized regression neural networks (GRNN)
technique in modelling of reference evapotranspiration (ET0) obtained using the FAO …
technique in modelling of reference evapotranspiration (ET0) obtained using the FAO …
An investigation on generalization ability of artificial neural networks and M5 model tree in modeling reference evapotranspiration
O Kisi, Y Kilic - Theoretical and applied climatology, 2016 - Springer
The generalization ability of artificial neural networks (ANNs) and M5 model tree (M5Tree) in
modeling reference evapotranspiration (ET 0) is investigated in this study. Daily climatic …
modeling reference evapotranspiration (ET 0) is investigated in this study. Daily climatic …