Support-vector-machine-based models for modeling daily reference evapotranspiration with limited climatic data in extreme arid regions
X Wen, J Si, Z He, J Wu, H Shao, H Yu - Water resources management, 2015 - Springer
Evapotranspiration is a major factor that controls hydrological process and its accurate
estimation provides valuable information for water resources planning and management …
estimation provides valuable information for water resources planning and management …
Integrating genetic algorithm and support vector machine for modeling daily reference evapotranspiration in a semi-arid mountain area
Z Yin, X Wen, Q Feng, Z He, S Zou, L Yang - Hydrology Research, 2017 - iwaponline.com
Accurate estimation of evapotranspiration is vitally important for management of water
resources and environmental protection. This study investigated the accuracy of integrating …
resources and environmental protection. This study investigated the accuracy of integrating …
SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment
The accurate estimation of reference evapotranspiration (ETo) becomes imperative in the
planning and management of irrigation practices. The Penman–Monteith FAO 56 (PMF-56) …
planning and management of irrigation practices. The Penman–Monteith FAO 56 (PMF-56) …
Uncertainty analysis of artificial intelligence modeling daily reference evapotranspiration in the northwest end of China
H Yu, X Wen, B Li, Z Yang, M Wu, Y Ma - Computers and Electronics in …, 2020 - Elsevier
Accurate estimation of reference evapotranspiration (ET 0) is of utmost importance for
hydrological balance, global change and water resource management. However, caused by …
hydrological balance, global change and water resource management. However, caused by …
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 …
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 …
Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates …
Accurate estimation of reference evapotranspiration (ET 0) is of great importance for the
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
regional water resources planning and irrigation scheduling design. The FAO-56 Penman …
Comparison of machine learning techniques and spatial distribution of daily reference evapotranspiration in Türkiye
Reference evapotranspiration (ET0) estimates are commonly used in hydrologic planning
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …
for water resources and agricultural applications. Last 2 decades, machine learning (ML) …
Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm
B Mohammadi, S Mehdizadeh - Agricultural Water Management, 2020 - Elsevier
In achieving water resource management goals such as irrigation scheduling, an accurate
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …
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 …