Monthly water consumption prediction using season algorithm and wavelet transform–based models

A Altunkaynak, TA Nigussie - Journal of Water Resources Planning …, 2017 - ascelibrary.org
Accurate prediction of water demand is essential for optimum management of water
resources and sustainable growth and development. Recently, models based on artificial …

A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction

AD Mehr, E Kahya - Journal of hydrology, 2017 - Elsevier
Genetic programming (GP) is able to systematically explore alternative model structures of
different accuracy and complexity from observed input and output data. The effectiveness of …

Season algorithm-multigene genetic programming: a new approach for rainfall-runoff modelling

A Danandeh Mehr, V Nourani - Water Resources Management, 2018 - Springer
Genetic programming (GP) is recognized as a robust machine learning method for rainfall-
runoff modelling. However, it may produce lagged forecasts if autocorrelation feature of …

Predicting water level fluctuations in Lake Van using hybrid season-neuro approach

A Altunkaynak - Journal of Hydrologic Engineering, 2019 - ascelibrary.org
Predicting water level fluctuations in a lake is crucial in terms of sustainable water supply
planning, flood control, management of water resources, shoreline maintenance …

Performance comparison of continuous wavelet-fuzzy and discrete wavelet-fuzzy models for water level predictions at northern and southern boundary of Bosphorus

A Altunkaynak, E Kartal - Ocean Engineering, 2019 - Elsevier
In this study, combined Discrete Wavelet Transform-Fuzzy (DWT-Fuzzy) and combined
Continuous Wavelet Transform-Fuzzy (CWT-Fuzzy) models are developed for predicting the …

Letter to the Editor “Estimation of global solar radiation data based on satellite-derived atmospheric parameters over the urban area of Mashhad, Iran”

EE Başakın, Ö Ekmekcioğlu - Environmental Science and Pollution …, 2021 - Springer
Discussion In recent years, a significant progress is made in solution of the nonlinear
problems with the development of artificial intelligence (AI)–based techniques. Natural …