Isa Ebtehaj
Isa Ebtehaj
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Cited by
Evaluation of sediment transport in sewer using artificial neural network
I Ebtehaj, H Bonakdari
Engineering Applications of Computational Fluid Mechanics 7 (3), 382-392, 2013
Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model
ZM Yaseen, I Ebtehaj, H Bonakdari, RC Deo, AD Mehr, WHMW Mohtar, ...
Journal of Hydrology 554, 263-276, 2017
Gene expression programming to predict the discharge coefficient in rectangular side weirs
I Ebtehaj, H Bonakdari, AH Zaji, H Azimi, A Sharifi
Applied Soft Computing 35, 618-628, 2015
GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs
I Ebtehaj, H Bonakdari, AH Zaji, H Azimi, F Khoshbin
Engineering Science and Technology, an International Journal 18 (4), 746-757, 2015
Performance evaluation of adaptive neural fuzzy inference system for sediment transport in sewers
I Ebtehaj, H Bonakdari
Water Resources Management 28 (13), 4765-4779, 2014
Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point
MA Ghorbani, S Shamshirband, DZ Haghi, A Azani, H Bonakdari, ...
Soil and Tillage Research 172, 32-38, 2017
Design criteria for sediment transport in sewers based on self-cleansing concept
I Ebtehaj, H Bonakdari, A Sharifi
Journal of Zhejiang University Science A 15 (11), 914-924, 2014
Rainfall pattern forecasting using novel hybrid intelligent model based ANFIS-FFA
ZM Yaseen, MI Ghareb, I Ebtehaj, H Bonakdari, R Siddique, S Heddam, ...
Water resources management 32 (1), 105-122, 2018
Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design
S Shaghaghi, H Bonakdari, A Gholami, I Ebtehaj, M Zeinolabedini
Applied Mathematics and Computation 313, 271-286, 2017
Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices
I Ebtehaj, H Bonakdari, F Khoshbin, H Azimi
Flow Measurement and Instrumentation 41, 67-74, 2015
Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in …
F Khoshbin, H Bonakdari, SH Ashraf Talesh, I Ebtehaj, AH Zaji, H Azimi
Engineering Optimization 48 (6), 933-948, 2016
A combined adaptive neuro-fuzzy inference system–firefly algorithm model for predicting the roller length of a hydraulic jump on a rough channel bed
H Azimi, H Bonakdari, I Ebtehaj, DG Michelson
Neural Computing and Applications 29 (6), 249-258, 2018
Uncertainty analysis of intelligent model of hybrid genetic algorithm and particle swarm optimization with ANFIS to predict threshold bank profile shape based on digital laser …
A Gholami, H Bonakdari, I Ebtehaj, M Mohammadian, B Gharabaghi, ...
Measurement 121, 294-303, 2018
Novel hybrid data-intelligence model for forecasting monthly rainfall with uncertainty analysis
ZM Yaseen, I Ebtehaj, S Kim, H Sanikhani, H Asadi, MI Ghareb, ...
Water 11 (3), 502, 2019
An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition
I Ebtehaj, H Bonakdari, F Moradi, B Gharabaghi, ZS Khozani
Coastal Engineering 135, 1-15, 2018
Assessment of evolutionary algorithms in predicting non-deposition sediment transport
I Ebtehaj, H Bonakdari
Urban Water Journal 13 (5), 499-510, 2016
Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate
M Zeynoddin, H Bonakdari, A Azari, I Ebtehaj, B Gharabaghi, ...
Journal of environmental management 222, 190-206, 2018
A highly efficient gene expression programming model for predicting the discharge coefficient in a side weir along a trapezoidal canal
H Azimi, H Bonakdari, I Ebtehaj
Irrigation and drainage 66 (4), 655-666, 2017
A combined support vector machine-wavelet transform model for prediction of sediment transport in sewer
I Ebtehaj, H Bonakdari, S Shamshirband, K Mohammadi
Flow Measurement and Instrumentation 47, 19-27, 2016
Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of …
I Ebtehaj, H Bonakdari, B Gharabaghi
Measurement 116, 473-482, 2018
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