Mohammad Zounemat-Kermani
Mohammad Zounemat-Kermani
Department of Water Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
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Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models
T Rajaee, SA Mirbagheri, M Zounemat-Kermani, V Nourani
Science of the total environment 407 (17), 4916-4927, 2009
Using adaptive neuro-fuzzy inference system for hydrological time series prediction
M Zounemat-Kermani, M Teshnehlab
Applied soft computing 8 (2), 928-936, 2008
Solar radiation prediction using different techniques: model evaluation and comparison
L Wang, O Kisi, M Zounemat-Kermani, GA Salazar, Z Zhu, W Gong
Renewable and Sustainable Energy Reviews 61, 384-397, 2016
River suspended sediment load prediction: application of ANN and wavelet conjunction model
T Rajaee, V Nourani, M Zounemat-Kermani, O Kisi
Journal of Hydrologic Engineering 16 (8), 613-627, 2011
Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system
M Zounemat-Kermani, AA Beheshti, B Ataie-Ashtiani, SR Sabbagh-Yazdi
Applied Soft Computing 9 (2), 746-755, 2009
Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff
M Zounemat-Kermani, O Kisi, T Rajaee
Applied Soft Computing 13 (12), 4633-4644, 2013
Pan evaporation modeling using six different heuristic computing methods in different climates of China
L Wang, O Kisi, M Zounemat-Kermani, H Li
Journal of Hydrology 544, 407-427, 2017
Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data
O Kisi, H Sanikhani, M Zounemat-Kermani, F Niazi
Computers and Electronics in Agriculture 115, 66-77, 2015
Modeling soil temperatures at different depths by using three different neural computing techniques
O Kisi, M Tombul, MZ Kermani
Theoretical and applied climatology 121 (1), 377-387, 2015
Prediction of solar radiation in China using different adaptive neuro‐fuzzy methods and M5 model tree
L Wang, O Kisi, M Zounemat‐Kermani, Z Zhu, W Gong, Z Niu, H Liu, Z Liu
International Journal of Climatology, 2017
Evaluation of data driven models for river suspended sediment concentration modeling
M Zounemat-Kermani, Kişi, J Adamowski, A Ramezani-Charmahineh
Journal of Hydrology 535, 457-472, 2016
Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs
RM Adnan, Z Liang, S Heddam, M Zounemat-Kermani, O Kisi, B Li
Journal of Hydrology 586, 124371, 2020
Comparison of two different adaptive neuro-fuzzy inference systems in modelling daily reference evapotranspiration
O Kisi, M Zounemat-Kermani
Water resources management 28 (9), 2655-2675, 2014
Daily streamflow prediction using optimally pruned extreme learning machine
RM Adnan, Z Liang, S Trajkovic, M Zounemat-Kermani, B Li, O Kisi
Journal of Hydrology 577, 123981, 2019
Hourly predictive Levenberg–Marquardt ANN and multi linear regression models for predicting of dew point temperature
M Zounemat-Kermani
Meteorology and Atmospheric Physics 117 (3), 181-192, 2012
Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree
O Kisi, O Genc, S Dinc, M Zounemat-Kermani
Computers and Electronics in Agriculture 122, 112-117, 2016
Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data
M Alizamir, O Kisi, M Zounemat-Kermani
Hydrological sciences journal 63 (1), 63-73, 2018
Evaporation modelling using different machine learning techniques
L Wang, O Kisi, B Hu, M Bilal, M Zounemat‐Kermani, H Li
International Journal of Climatology 37, 1076-1092, 2017
Learning from multiple models using artificial intelligence to improve model prediction accuracies: application to river flows
MA Ghorbani, R Khatibi, V Karimi, ZM Yaseen, M Zounemat-Kermani
Water resources management 32 (13), 4201-4215, 2018
Modeling groundwater fluctuations by three different evolutionary neural network techniques using hydroclimatic data
O Kisi, M Alizamir, M Zounemat-Kermani
Natural Hazards 87 (1), 367–381, 2017
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