Neurocomputing intelligence models for lakes water level forecasting: a comprehensive review
Hydrological processes forecasting is an essential step for better water management and
sustainability. Among several hydrological processes, lake water level (LWL) forecasting is …
sustainability. Among several hydrological processes, lake water level (LWL) forecasting is …
Lake water-level fluctuation forecasting using machine learning models: a systematic review
Lake water-level fluctuation is a complex and dynamic process, characterized by high
stochasticity and nonlinearity, and difficult to model and forecast. In recent years …
stochasticity and nonlinearity, and difficult to model and forecast. In recent years …
Application of several data-driven techniques for predicting groundwater level
In this study, several data-driven techniques including system identification, time series, and
adaptive neuro-fuzzy inference system (ANFIS) models were applied to predict groundwater …
adaptive neuro-fuzzy inference system (ANFIS) models were applied to predict groundwater …
Forecasting surface water level fluctuations of Lake Van by artificial neural networks
A Altunkaynak - Water resources management, 2007 - Springer
Abstract Lake Van in eastern Turkey has been subject to water level rise during the last
decade and, consequently, the low-lying areas along the shore are inundated, giving …
decade and, consequently, the low-lying areas along the shore are inundated, giving …
Uncertainty analysis for the forecast of lake level fluctuations using ensembles of ANN and ANFIS models
M Talebizadeh, A Moridnejad - Expert Systems with applications, 2011 - Elsevier
In this study various ANN and ANFIS models were developed to forecast the lake level
fluctuations in Lake Urmia in northwest of Iran. In addition to the time series of lake levels …
fluctuations in Lake Urmia in northwest of Iran. In addition to the time series of lake levels …
[图书][B] Spatial modeling principles in earth sciences
Z Sen - 2016 - Springer
Earth systems and sciences cover a vast amount of disciplines that are effective in the daily
life of human beings. Among these are the atmospheric sciences, meteorology …
life of human beings. Among these are the atmospheric sciences, meteorology …
Lake level forecasting using wavelet-SVR, wavelet-ANFIS and wavelet-ARMA conjunction models
Accurate predicting of lake level fluctuations is essential and basic in water resources
management for water supply purposes. The predicting of lake level is complicated because …
management for water supply purposes. The predicting of lake level is complicated because …
Enhancing monthly lake levels forecasting using heuristic regression techniques with periodicity data component: application of Lake Michigan
V Demir - Theoretical and Applied Climatology, 2022 - Springer
This study investigates the accuracy of three different techniques with the periodicity
component for estimating monthly lake levels. The three techniques are multivariate …
component for estimating monthly lake levels. The three techniques are multivariate …
A framework for 'Inclusive Multiple Modelling'with critical views on modelling practices–Applications to modelling water levels of Caspian Sea and Lakes Urmia and …
R Khatibi, MA Ghorbani, S Naghshara, H Aydin… - Journal of …, 2020 - Elsevier
A framework is formulated in this paper for data-driven modelling practices to characterise
Inclusive Multiple Modelling (IMM) practices with multiple goals of enhancing the extracted …
Inclusive Multiple Modelling (IMM) practices with multiple goals of enhancing the extracted …
Comparison of two different data-driven techniques in modeling lake level fluctuations in Turkey
This study compares the potential of two different data-driven techniques, support vector
machines (SVM) and artificial neural network (ANN) in modeling lake level fluctuations. The …
machines (SVM) and artificial neural network (ANN) in modeling lake level fluctuations. The …