Support vector machine applications in the field of hydrology: a review
PC Deka - Applied soft computing, 2014 - Elsevier
In the recent few decades there has been very significant developments in the theoretical
understanding of Support vector machines (SVMs) as well as algorithmic strategies for …
understanding of Support vector machines (SVMs) as well as algorithmic strategies for …
A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Reference Evapotranspiration (ET o) is a complex, dynamic and non-linear hydrological
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
process. Accurate estimation of ET o has long been an eminent topic of interest in the …
Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS
This paper investigates the abilities of Artificial Neural Networks (ANN), Least Squares–
Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference …
Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference …
Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models
The forecasting of evaporative loss (E) is vital for water resource management and
understanding of hydrological process for farming practices, ecosystem management and …
understanding of hydrological process for farming practices, ecosystem management and …
A review of recent advances and future prospects in calculation of reference evapotranspiration in Bangladesh using soft computing models
Evapotranspiration (ETo) is a complex and non-linear hydrological process with a significant
impact on efficient water resource planning and long-term management. The Penman …
impact on efficient water resource planning and long-term management. The Penman …
Analysis of potential evapotranspiration using 11 modified temperature-based models
M Valipour, S Eslamian - International Journal of Hydrology …, 2014 - inderscienceonline.com
The evapotranspiration was estimated using 11 temperature-based models and was
compared with the FAO Penman-Monteith model. The results showed that the modified …
compared with the FAO Penman-Monteith model. The results showed that the modified …
Estimation of daily pan evaporation using artificial neural network and multivariate non-linear regression
Measurement of evaporation (E) rate from various natural surfaces is known as the key
element in any hydrological cycle and hydrometeorological studies. Due to the shortage of …
element in any hydrological cycle and hydrometeorological studies. Due to the shortage of …
A comparative study of daily pan evaporation estimation using ANN, regression and climate based models
PB Shirsath, AK Singh - Water resources management, 2010 - Springer
Evaporation estimates are needed for efficient management of water resources at a farm
scale as well as at a regional or catchment scale. This paper presents application of artificial …
scale as well as at a regional or catchment scale. This paper presents application of artificial …
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 …
Pan evaporation simulation based on daily meteorological data using soft computing techniques and multiple linear regression
Evaporation, a major component of hydrologic cycle, is an important parameter to many
applications in water resource management, irrigation scheduling, and environmental …
applications in water resource management, irrigation scheduling, and environmental …