Parameter optimisation-based hybrid reference evapotranspiration prediction models: A systematic review of current implementations and future research directions
HE Khairan, SL Zubaidi, YR Muhsen, N Al-Ansari - Atmosphere, 2022 - mdpi.com
A hybrid machine learning (ML) model is becoming a common trend in predicting reference
evapotranspiration (ETo) research. This study aims to systematically review ML models that …
evapotranspiration (ETo) research. This study aims to systematically review ML models that …
Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms
Hybrid heuristic algorithm (HA), an innovative technique in the machine learning field,
enhances the accuracy of reference evapotranspiration (ETo) prediction, which is of …
enhances the accuracy of reference evapotranspiration (ETo) prediction, which is of …
Modeling potential evapotranspiration by improved machine learning methods using limited climatic data
Modeling potential evapotranspiration (ET0) is an important issue for water resources
planning and management projects involving droughts and flood hazards …
planning and management projects involving droughts and flood hazards …
Reference evapotranspiration estimating based on optimal input combination and hybrid artificial intelligent model: Hybridization of artificial neural network with grey …
Reference Evapotranspiration (ET o) is one of the key components of the hydrological cycle
that is effective in water resources planning, irrigation and agricultural management and …
that is effective in water resources planning, irrigation and agricultural management and …
A novel kernel extreme learning machine model coupled with K-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel …
Accurate and fast estimation of reference evapotranspiration (ET 0) is important in
determining crop water requirements, designing irrigation schedule, planning and managing …
determining crop water requirements, designing irrigation schedule, planning and managing …
Multi-step ahead modeling of reference evapotranspiration using a multi-model approach
Abstract Efficient estimation of Reference Evapotranspiration (ET 0) becomes necessary for
water resources management and irrigation practices. Despite research advancement in the …
water resources management and irrigation practices. Despite research advancement in the …
Dye Pollutant Removal from Synthetic Wastewater: A New Modeling and Predicting Approach Based on Experimental Data Analysis, Kriging Interpolation Method …
M Valikhan Anaraki, F Mahmoudian… - Journal of …, 2022 - search.ebscohost.com
In the present study, a new approach by coupling the interpolation method with computation-
based technique (data-mining algorithms and an optimization algorithm) is introduced for …
based technique (data-mining algorithms and an optimization algorithm) is introduced for …
Predicting daily reference evapotranspiration rates in a humid region, comparison of seven various data-based predictor models
P Aghelpour, R Norooz-Valashedi - Stochastic Environmental Research …, 2022 - Springer
The reference crop evapotranspiration (ET0) is one of the major components of the
hydrological cycle, and its prediction is of great importance in agricultural operations …
hydrological cycle, and its prediction is of great importance in agricultural operations …
The development of evolutionary computing model for simulating reference evapotranspiration over Peninsular Malaysia
Reference evapotranspiration (ETo) is one of the foremost elements of the hydrology cycle
which is essential for water resources management and irrigation applications. The current …
which is essential for water resources management and irrigation applications. The current …
Simulating wetting front dimensions of drip irrigation systems: Multi criteria assessment of soft computing models
Accurate estimation of wetting front dimensions in surface and sub-surface irrigation systems
is very important for optimal management of water resources as well as increasing the …
is very important for optimal management of water resources as well as increasing the …