[HTML][HTML] Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation
Timely and accurate estimation of reference evapotranspiration (ET 0) is indispensable for
agricultural water management for efficient water use. This study aims to estimate the …
agricultural water management for efficient water use. This study aims to estimate the …
Prediction of groundwater level in Ardebil plain using support vector regression and M5 tree model
The Ardebil plain, which is located in northwest Iran, has been faced with a recent and
severe decline in groundwater level caused by a decrease of precipitation, successive long …
severe decline in groundwater level caused by a decrease of precipitation, successive long …
Performance evaluation of deep learning-based gated recurrent units (GRUs) and tree-based models for estimating ETo by using limited meteorological variables
The amount of water allocated to irrigation systems is significantly greater than the amount
allocated to other sectors. Thus, irrigation water demand management is at the center of the …
allocated to other sectors. Thus, irrigation water demand management is at the center of the …
Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree
Accurate prediction of daily pan evaporations plays a crucial role in water resources
management since it has direct effect on water reservoirs, therefore drinking water supply …
management since it has direct effect on water reservoirs, therefore drinking water supply …
Hybrid statistical and machine learning methods for daily evapotranspiration modeling
Machine learning (ML) models, including artificial neural networks (ANN), generalized
neural regression networks (GRNN), and adaptive neuro-fuzzy interface systems (ANFIS) …
neural regression networks (GRNN), and adaptive neuro-fuzzy interface systems (ANFIS) …
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 …
Predicting reference evapotranspiration based on hydro-climatic variables: comparison of different machine learning models
This paper aimed to estimate the reference evapotranspiration (ET0) due to some limitations
of the Food and Agriculture Organization-56 Penman-Monteith (FAO 56-PM) approach by …
of the Food and Agriculture Organization-56 Penman-Monteith (FAO 56-PM) approach by …
Estimation of sodium adsorption ratio in a river with kernel-based and decision-tree models
The control of surface water quality plays an important role in the management of water
resources. In this context, the estimation and assessment of sodium adsorption ratio (SAR) …
resources. In this context, the estimation and assessment of sodium adsorption ratio (SAR) …
Comparative study of M5 model tree and artificial neural network in estimating reference evapotranspiration using MODIS products
Reference evapotranspiration (ETO) is one of the major parameters affecting hydrological
cycle. Use of satellite images can be very helpful to compensate for lack of reliable weather …
cycle. Use of satellite images can be very helpful to compensate for lack of reliable weather …
Estimation of reference evapotranspiration via machine learning algorithms in humid and semiarid environments in Khyber Pakhtunkhwa, Pakistan
Efficient agricultural water management requires accurate determination of reference
evapotranspiration (ETo). Artificial intelligence has recently managed to solve several water …
evapotranspiration (ETo). Artificial intelligence has recently managed to solve several water …