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Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

Journal of hydrology (Amsterdam), 2015-09, Vol.528, p.312-320

Kisi, Ozgur

2015

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Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) models

Neural computing & applications, 2020-01, Vol.32 (1), p.295-308

2020

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Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations

Computers & geosciences, 2011-10, Vol.37 (10), p.1692-1701

2011

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Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process

Journal of hydrology (Amsterdam), 2011-05, Vol.402 (1), p.41-59

2011

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Long-Term Trends and Seasonality Detection of the Observed Flow in Yangtze River Using Mann-Kendall and Sen’s Innovative Trend Method

Water (Basel), 2019-09, Vol.11 (9), p.1855

2019

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Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

Journal of hydrology (Amsterdam), 2014-06, Vol.514, p.358-377

2014

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Daily streamflow prediction using optimally pruned extreme learning machine

Journal of hydrology (Amsterdam), 2019-10, Vol.577, p.123981, Article 123981

2019

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Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration

Environmental science and pollution research international, 2020-08, Vol.27 (24), p.30001-30019

2020

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Precipitation forecasting by using wavelet-support vector machine conjunction model

Engineering applications of artificial intelligence, 2012-06, Vol.25 (4), p.783-792

2012

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New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

Hydrology Research, 2018-06, Vol.49 (3), p.939-953

2018

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Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

Journal of hydrology (Amsterdam), 2016-11, Vol.542, p.603-614

2016

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Modeling rainfall-runoff process using soft computing techniques

Computers & geosciences, 2013-02, Vol.51, p.108-117

2013

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Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches

Hydrological sciences journal, 2019-11, Vol.64 (15), p.1824-1842

2019

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Trend analysis of precipitation records using an innovative trend methodology in a semi-arid Mediterranean environment: Cheliff Watershed Case (Northern Algeria)

Theoretical and applied climatology, 2021-05, Vol.144 (3-4), p.1001-1015

2021

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Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction

Stochastic environmental research and risk assessment, 2020-11, Vol.34 (11), p.1755-1773

2020

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Monthly pan-evaporation estimation in Indian central Himalayas using different heuristic approaches and climate based models

Computers and electronics in agriculture, 2017-12, Vol.143, p.302-313

2017

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Generalized regression neural networks for evapotranspiration modelling

Hydrological sciences journal, 2006-12, Vol.51 (6), p.1092-1105

Kisi, Oe

2006

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Fuzzy c-means and K-means clustering with genetic algorithm for identification of homogeneous regions of groundwater quality

Neural computing & applications, 2020-04, Vol.32 (8), p.3763-3775

2020

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Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

Journal of hydrology (Amsterdam), 2015-08, Vol.527, p.184-195

2015

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Dissolved oxygen prediction using a new ensemble method

Environmental science and pollution research international, 2020-03, Vol.27 (9), p.9589-9603

2020

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Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction

Water resources management, 2020-12, Vol.34 (15), p.4561-4575

2020

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Uncertainty analysis of discharge coefficient predicted for rectangular side weir using machine learning methods

Journal of Hydrology and Hydromechanics, 2024-03, Vol.72 (1), p.113-130

2024

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Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data

Neural computing & applications, 2021-04, Vol.33 (7), p.2853-2871

2021

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Human–Environment Natural Disasters Interconnection in China: A Review

Climate (Basel), 2020-04, Vol.8 (4), p.48

2020

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Spatial evaluation of climate change-induced drought characteristics in different climates based on De Martonne Aridity Index in Iran

Applied water science, 2023-06, Vol.13 (6), p.133-20, Article 133

2023

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Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

Evaluation of mechanical properties of concretes containing coarse recycled concrete aggregates using multivariate adaptive regression splines (MARS), M5 model tree (M5Tree), and least squares support vector regression (LSSVR) models

Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations

Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process

Long-Term Trends and Seasonality Detection of the Observed Flow in Yangtze River Using Mann-Kendall and Sen’s Innovative Trend Method

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

Daily streamflow prediction using optimally pruned extreme learning machine

Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration

Precipitation forecasting by using wavelet-support vector machine conjunction model

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

Modeling rainfall-runoff process using soft computing techniques

Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches

Trend analysis of precipitation records using an innovative trend methodology in a semi-arid Mediterranean environment: Cheliff Watershed Case (Northern Algeria)

Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction

Monthly pan-evaporation estimation in Indian central Himalayas using different heuristic approaches and climate based models

Generalized regression neural networks for evapotranspiration modelling

Fuzzy c-means and K-means clustering with genetic algorithm for identification of homogeneous regions of groundwater quality

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

Dissolved oxygen prediction using a new ensemble method

Application of Artificial Neural Networks, Support Vector Machine and Multiple Model-ANN to Sediment Yield Prediction

Uncertainty analysis of discharge coefficient predicted for rectangular side weir using machine learning methods

Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data

Human–Environment Natural Disasters Interconnection in China: A Review

Spatial evaluation of climate change-induced drought characteristics in different climates based on De Martonne Aridity Index in Iran

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