Hossein Bonakdari

发表

Comparative Assessment of the Hybrid Genetic Algorithm-Artificial Neural Network and Genetic Programming Methods for the Prediction of Longitudinal Velocity Field around a Single Straight Groyne

Akbar Safarzadeh, Amir Hossein Zaji, Hossein Bonakdari, 2017, Appl. Soft Comput..

Estimating the shear stress distribution in circular channels based on the randomized neural network technique

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2017, Appl. Soft Comput..

Integrated Markov chains and uncertainty analysis techniques to more accurately forecast floods using satellite signals

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2019, Journal of Hydrology.

Application of a Neuro-Fuzzy GMDH Model for Predicting the Velocity at Limit of Deposition in Storm Sewers

Mohammad Najafzadeh, Hossein Bonakdari, H. Bonakdari, 2017 .

Experimental and Numerical Study on Velocity Fields and Water Surface Profile in a Strongly-Curved 90° Open Channel Bend

Hossein Bonakdari, Akbar A. Javadi, Azadeh Gholami, 2014 .

Evolutionary Pareto optimization of an ANFIS network for modeling scour at pile groups in clear water condition

Ali Jamali, Hossein Bonakdari, Isa Ebtehaj, 2017, Fuzzy Sets Syst..

Sediment transport modeling in rigid boundary open channels using generalize structure of group method of data handling

Hossein Bonakdari, Isa Ebtehaj, Mir Jafar Sadegh Safari, 2019, Journal of Hydrology.

A nonlinear simulation method based on a combination of multilayer perceptron and decision trees for predicting non-deposition sediment transport

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2016 .

Design of a support vector machine with different kernel functions to predict scour depth around bridge piers

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2016, Natural Hazards.

More accurate prediction of the complex velocity field in sewers based on uncertainty analysis using extreme learning machine technique

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2018, ISH Journal of Hydraulic Engineering.

Designing a New Data Intelligence Model for Global Solar Radiation Prediction: Application of Multivariate Modeling Scheme

Nadhir Al-Ansari, Hossein Bonakdari, Isa Ebtehaj, 2019, Energies.

Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of data handling

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018 .

Simulation of open channel bend characteristics using computational fluid dynamics and artificial neural networks

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2015 .

Extreme Learning Machines in Predicting the Velocity Distribution in Compound Narrow Channels

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018 .

A continuous data driven translational model to evaluate effectiveness of population-level health interventions: case study, smoking ban in public places on hospital admissions for acute coronary events

Hossein Bonakdari, Johanne Martel-Pelletier, Jean-Pierre Pelletier, 2020, Journal of translational medicine.

Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Water Resources Management.

Developing an AI-based method for river discharge forecasting using satellite signals

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2019, Theoretical and Applied Climatology.

Assessment of velocity fields through open-channels: creation of empirical laws

Frédérique Larrarte, Hossein Bonakdari, Jose Guillermo Panduro Vazquez, 2007 .

Discussion of “Comparative assessment of time series and artificial intelligence models to estimate monthly streamflow: A local and external data analysis approach” by Saeid Mehdizadeh, Farshad Fathian, Mir Jafar Sadegh Safari and Jan F. Adamowski

Hossein Bonakdari, Isa Ebtehaj, Mohammad Zeynoddin, 2020 .

Estimating the shear force carried by walls in rough rectangular channels using a new approach based on the radial basis function method

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2017 .

Deriving the governing equation for a shock damper to model the unsteady flow caused by sudden valve closure and sudden demand change

Hossein Bonakdari, Ali Akbar Akhtari, Mohammad Bostan, 2017 .

Closed-Form Solution for Flow Field in Curved Channels in Comparison with Experimental and Numerical Analyses and Artificial Neural Network

Hossein Bonakdari, Foad Nazari, Majid Fazli, 2012 .

Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA

Zaher Mundher Yaseen, Hossein Bonakdari, Isa Ebtehaj, 2017, Water Resources Management.

3D flow simulation of straight groynes using hybrid DE-based artificial intelligence methods

Akbar Safarzadeh, Amir Hossein Zaji, Hossein Bonakdari, 2018, Soft Computing.

Abutment scour depth modeling using neuro-fuzzy-embedded techniques

Bahram Gharabaghi, Ozgur Kisi, Hossein Bonakdari, 2019 .

Extreme learning machine assessment for estimating sediment transport in open channels

Shahaboddin Shamshirband, Hossein Bonakdari, Isa Ebtehaj, 2016, Engineering with Computers.

The optimal dam site selection using a group decision-making method through fuzzy TOPSIS model

Bahram Gharabaghi, Hossein Bonakdari, Amir Noori, 2018, Environment Systems and Decisions.

Robustness lake water level prediction using the search heuristic-based artificial intelligence methods

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2019 .

Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design

Hossein Bonakdari, Isa Ebtehaj, Azadeh Gholami, 2017, Appl. Math. Comput..

Study of the shear stress in narrow channels: application to sewers

Frédérique Larrarte, Hossein Bonakdari, Claude Joannis, 2008 .

Profil de vitesses turbulent : une nouvelle loi pour les canaux étroits

Frédérique Larrarte, Hossein Bonakdari, Claude Joannis, 2010 .

GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2015 .

Estimating 2-year flood flows using the generalized structure of the Group Method of Data Handling

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Journal of Hydrology.

Applying Upstream Satellite Signals and a 2-D Error Minimization Algorithm to Advance Early Warning and Management of Flood Water Levels and River Discharge

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Development of a linear based stochastic model for daily soil temperature prediction: One step forward to sustainable agriculture

Hossein Bonakdari, Isa Ebtehaj, Mohammad Zeynoddin, 2020, Comput. Electron. Agric..

New radial basis function network method based on decision trees to predict flow variables in a curved channel

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2017, Neural Computing and Applications.

Modeling unsaturated hydraulic conductivity by hybrid soft computing techniques

Hossein Bonakdari, Isa Ebtehaj, Balraj Singh, 2019, Soft Comput..

Retraction Note to: Modelling thermal comfort of visitors at urban squares in hot and arid climate using NN-ARX soft computing method

Shervin Motamedi, Shahaboddin Shamshirband, Dalibor Petković, 2016, Theoretical and Applied Climatology.

Discharge and flow field simulation of open channel sewer junction using artificial intelligence methods

Amir Hossein Zaji, Hossein Bonakdari, 2018 .

Evaluating mathematical models for velocity distribution and dip phenomenon in rectangular open channels

Hossein Bonakdari, Negin Binesh, 2016 .

Evolutionary design of a generalized polynomial neural network for modelling sediment transport in clean pipes

Hossein Bonakdari, Isa Ebtehaj, Fatemeh Khoshbin, 2016 .

Exploring the Role of Advertising Types on Improving the Water Consumption Behavior: An Application of Integrated Fuzzy AHP and Fuzzy VIKOR Method

Hossein Bonakdari, Ehsan Sharifi, Amir Noori, 2020, Sustainability.

Application of artificial neural network and genetic programming models for estimating the longitudinal velocity field in open channel junctions

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2015 .

APPLICATION OF INTERVAL-VALUED FUZZY ANALYTIC HIERARCHY PROCESS APPROACH IN SELECTION CARGO TERMINALS, A CASE STUDY

Hossein Bonakdari, Akbar A. Javadi, Yasser Minatour, 2015 .

An expert system for predicting the velocity field in narrow open channel flows using self-adaptive extreme learning machines

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2020 .

Design of an adaptive neuro-fuzzy computing technique for predicting flow variables in a 90° sharp bend

Hossein Bonakdari, Isa Ebtehaj, Azadeh Gholami, 2017 .

Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Neural Computing and Applications.

Open channel junction velocity prediction by using a hybrid self-neuron adjustable artificial neural network

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2016 .

Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2018, IEEE Transactions on Geoscience and Remote Sensing.

A Bayesian Monte-Carlo Uncertainty Model for Assessment of Shear Stress Entropy pdf

Bahram Gharabaghi, Hossein Bonakdari, Amir Mosavi, 2020, ArXiv.

Efficient methods for prediction of velocity fields in open channel junctions based on the artifical neural network

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2015 .

Predicting stable alluvial channel profiles using emotional artificial neural networks

Pijush Samui, Bahram Gharabaghi, Hossein Bonakdari, 2019, Appl. Soft Comput..

Flow Variables Prediction Using Experimental, Computational Fluid Dynamic and Artificial Neural Network Models in a Sharp Bend

Hossein Bonakdari, Azadeh Gholami, Ali Akbar Akhtari, 2016 .

Predicting discharge coefficient of triangular labyrinth weir using extreme learning machine, artificial neural network and genetic programming

Shahaboddin Shamshirband, Hossein Bonakdari, Hojat Karami, 2016, Neural Computing and Applications.

Predicting Velocity at Limit of Deposition in Storm Channels using two Data Mining Techniques

Hossein Bonakdari, Isa Ebtehaj, 2016 .

Developing an expert group method of data handling system for predicting the geometry of a stable channel with a gravel bed

Hossein Bonakdari, Isa Ebtehaj, Azadeh Gholami, 2017 .

EFFECTSOF WIDTH RATIOS AND DIVIDING ANGLES ON THE MEAN VELOCITY IN DIVIDING OPEN CHANNELS USINGNUMERICAL MODELING AND ARTIFICIAL NEURAL NETWORK MODELING

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2017 .

Evaluation of artificial neural network model and statistical analysis relationships to predict the stable channel width

Hossein Bonakdari, Azadeh Gholami, H. Bonakdari, 2016 .

A reliable time-series method for predicting arthritic disease outcomes: New step from regression toward a nonlinear artificial intelligence method

Hossein Bonakdari, Johanne Martel-Pelletier, Jean-Pierre Pelletier, 2020, Comput. Methods Programs Biomed..

A Comparative Study of Extreme Learning Machines and Support Vector Machines in Prediction of Sediment Transport in Open Channels

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2016 .

Improving the performance of multi-layer perceptron and radial basis function models with a decision tree model to predict flow variables in a sharp 90° bend

Amir Hossein Zaji, Hossein Bonakdari, David G. Michelson, 2016, Appl. Soft Comput..

A Highly Efficient Gene Expression Programming Model for Predicting the Discharge Coefficient in a Side Weir along a Trapezoidal Canal

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2017 .

A combined adaptive neuro-fuzzy inference system–firefly algorithm model for predicting the roller length of a hydraulic jump on a rough channel bed

Hossein Bonakdari, Isa Ebtehaj, David G. Michelson, 2018, Neural Computing and Applications.

Application of a soft computing technique in predicting the percentage of shear force carried by walls in a rectangular channel with non-homogeneous roughness.

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2016, Water science and technology : a journal of the International Association on Water Pollution Research.

Estimating shear stress in a rectangular channel with rough boundaries using an optimized SVM method

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2016, Neural Computing and Applications.

Design criteria for sediment transport in sewers based on self-cleansing concept

Hossein Bonakdari, Isa Ebtehaj, Ali Sharifi, 2014 .

Application of optimized Artificial and Radial Basis neural networks by using modified Genetic Algorithm on discharge coefficient prediction of modified labyrinth side weir with two and four cycles

Amir Hossein Zaji, Hossein Bonakdari, Saeed Reza Khodashenas, 2020 .

RETRACTED: Estimation of wind turbine wake effect by adaptive neuro-fuzzy approach

Dalibor Petković, Hossein Bonakdari, Shahaboddin Shamshirband, 2015 .

A comparison of artificial intelligence-based classification techniques in predicting flow variables in sharp curved channels

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2019, Engineering with Computers.

Modelling thermal comfort of visitors at urban squares in hot and arid climate using NN-ARX soft computing method

Shervin Motamedi, Shahaboddin Shamshirband, Dalibor Petković, 2015, Theoretical and Applied Climatology.

Assessment of Stochastic Models and a Hybrid Artificial Neural Network-Genetic Algorithm Method in Forecasting Monthly Reservoir Inflow

Amir Hossein Zaji, Hossein Bonakdari, Seyed Ehsan Fatemi, 2017 .

A reliable linear method for modeling lake level fluctuations

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Journal of Hydrology.

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 approach sensing

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018, Measurement.

Evaluating the apparent shear stress in prismatic compound channels using the Genetic Algorithm based on Multi-Layer Perceptron: A comparative study

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2018, Appl. Math. Comput..

Evaluation of preprocessing techniques for improving the accuracy of stochastic rainfall forecast models

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, International Journal of Environmental Science and Technology.

Development of optimal water supply plan using integrated fuzzy Delphi and fuzzy ELECTRE III methods—Case study of the Gamasiab basin

Bahram Gharabaghi, Hossein Bonakdari, Amir Noori, 2020, Expert Syst. J. Knowl. Eng..

Gene expression programming to predict the discharge coefficient in rectangular side weirs

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2015, Appl. Soft Comput..

New Approach to Estimate Velocity at Limit of Deposition in Storm Sewers Using Vector Machine Coupled with Firefly Algorithm

Roslan Hashim, Hossein Bonakdari, Isa Ebtehaj, 2017 .

Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate.

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018, Journal of environmental management.

Combination of Computational Fluid Dynamics, Adaptive Neuro-Fuzzy Inference System, and Genetic Algorithm for Predicting Discharge Coefficient of Rectangular Side Orifices

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2017 .

Determination of the most influential weather parameters on reference evapotranspiration by adaptive neuro-fuzzy methodology

Shervin Motamedi, Shahaboddin Shamshirband, Roslan Hashim, 2015, Comput. Electron. Agric..

Scour Depth Prediction around Bridge Piers Using Neuro Fuzzy and Neural Network Approaches

Hossein Bonakdari, Isa Ebtehaj, 2017 .

Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region

Nadhir Al-Ansari, Sinan Q. Salih, Zaher Mundher Yaseen, 2019, IEEE Access.

Integrated SARIMA with Neuro-Fuzzy Systems and Neural Networks for Monthly Inflow Prediction

Hossein Bonakdari, Isa Ebtehaj, Hamid Moeeni, 2017, Water Resources Management.

Methodology for qualifying measurement sites within a drainage network: Application to fl ow readings in a main drain

Frédérique Larrarte, Claude Joannis, Hossein Bonakdari, 2008 .

Closure to “Combination of Computational Fluid Dynamics, Adaptive Neuro-Fuzzy Inference System, and Genetic Algorithm for Predicting Discharge Coefficient of Rectangular Side Orifices” by Hamed Azimi, Saeid Shabanlou, Isa Ebtehaj, Hossein Bonakdari, and Saeid Kardar

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2018 .

Hybrid Data Intelligent Models and Applications for Water Level Prediction

Zaher Mundher Yaseen, Hossein Bonakdari, Isa Ebtehaj, 2018 .

Evaluation of Sediment Transport in Sewer using Artificial Neural Network

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2013 .

Numerical Analysis and Prediction of the Velocity Field in Curved Open Channel Using Artificial Neural Network and Genetic Algorithm

Hossein Bonakdari, Foad Nazari, Majid Fazli, 2011 .

Mean bed shear stress estimation in a rough rectangular channel using a hybrid genetic algorithm based on an artificial neural network and genetic programming

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2017 .

Effects of 3D Structured Grids on Computational Modeling of Flow

Hossein Bonakdari, 2012 .

Preliminary analysis of turbidity measurements during a flushing operation in combined sewer channel

Hossein Bonakdari, Isa Ebtehaj, Alberto Campisano, 2016 .

Comparison of genetic programming and radial basis function neural network for open-channel junction velocity field prediction

Amir Hossein Zaji, Hossein Bonakdari, Minoo Sharifipour, 2016, Neural Computing and Applications.

Comparison of genetic algorithm and imperialist competitive algorithms in predicting bed load transport in clean pipe.

Hossein Bonakdari, Isa Ebtehaj, 2014, Water science and technology : a journal of the International Association on Water Pollution Research.

Hybrid Evolutionary Algorithm Based on PSOGA for ANFIS Designing in Prediction of No-Deposition Bed Load Sediment Transport in Sewer Pipe

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018, Advances in Intelligent Systems and Computing.

Sensitivity analysis of parameters affecting scour depth around bridge piers based on the non-tuned, rapid extreme learning machine method

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2018, Neural Computing and Applications.

Performance Evaluation of Adaptive Neural Fuzzy Inference System for Sediment Transport in Sewers

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2014, Water Resources Management.

Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficient

Shahaboddin Shamshirband, Amir Hossein Zaji, Hossein Bonakdari, 2016, Appl. Math. Comput..

Extension of Fuzzy Delphi AHP Based on Interval-Valued Fuzzy Sets and its Application in Water Resource Rating Problems

Hossein Bonakdari, Yasser Minatour, Zahra Shirmohammadi Aliakbarkhani, 2016, Water Resources Management.

Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction

Bahram Gharabaghi, Hossein Bonakdari, Deepak Kumar, 2020, Sustainability.

A Novel Comprehensive Evaluation Method for Estimating the Bank Profile Shape and Dimensions of Stable Channels Using the Maximum Entropy Principle

Hossein Bonakdari, Isa Ebtehaj, Azadeh Gholami, 2020, Entropy.

Application of a genetic algorithm in predicting the percentage of shear force carried by walls in smooth rectangular channels

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2016 .

Prediction of Discharge Capacity of Labyrinth Weir with Gene Expression Programming pdf

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2020, IntelliSys.

Optimal Design for Shock Damper with Genetic Algorithm to Control Water Hammer Effects in Complex Water Distribution Systems

Hossein Bonakdari, Ali Akbar Akhtari, Mohammad Bostan, 2019, Water Resources Management.

Prediction of scour depth around bridge piers using self-adaptive extreme learning machine

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2017 .

Water supply management using an extended group fuzzy decision-making method: a case study in north-eastern Iran

Hossein Bonakdari, Mahdi Zarghami, Yasser Minatour, 2015, Applied Water Science.

Understanding the dynamic nature of Time-to-Peak in UK streams

Bahram Gharabaghi, Hossein Bonakdari, Edward A. McBean, 2020 .

Sensitivity analysis of the discharge coefficient of a modified triangular side weir by adaptive neuro-fuzzy methodology

Shahaboddin Shamshirband, Dalibor Petković, Roslan Hashim, 2015 .

Proposing a novel hybrid intelligent model for the simulation of particle size distribution resulting from blasting

Hossein Bonakdari, Mahdi Hasanipanah, Isa Ebtehaj, 2018, Engineering with Computers.

An expert system with radial basis function neural network based on decision trees for predicting sediment transport in sewers.

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2016, Water science and technology : a journal of the International Association on Water Pollution Research.

Improved side weir discharge coefficient modeling by adaptive neuro-fuzzy methodology

Shervin Motamedi, Hossein Bonakdari, Shahaboddin Shamshirband, 2016 .

Evaluating Parshall flume aeration with experimental observations and advance soft computing techniques

Hossein Bonakdari, Isa Ebtehaj, Parveen Sihag, 2021, Neural Computing and Applications.

Prognostication of Shortwave Radiation Using an Improved No-Tuned Fast Machine Learning

Hossein Bonakdari, Isa Ebtehaj, Chandra A. Madramootoo, 2021, Sustainability.

River flow forecasting using stochastic and neuro-fuzzy-embedded technique: a comprehensive preprocessing-based assessment

Pijush Samui, Bahram Gharabaghi, Hossein Bonakdari, 2021 .

Prediction of daily water level using new hybridized GS-GMDH and ANFIS-FCM models

Anurag Malik, Hossein Bonakdari, Isa Ebtehaj, 2021, Engineering Applications of Computational Fluid Mechanics.

Lake Surface Area Forecasting Using Integrated Satellite-SARIMA-Long-Short-Term Memory Model

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2021 .

Pareto Multiobjective Bioinspired Optimization of Neuro-Fuzzy Technique for Predicting Sediment Transport in Sewer Pipe

Ali Jamali, Hossein Bonakdari, Isa Ebtehaj, 2021, Soft Computing Techniques in Solid Waste and Wastewater Management.

Pareto design of multiobjective evolutionary neuro-fuzzy system for predicting scour depth around bridge piers

Pijush Samui, Bahram Gharabaghi, Ali Jamali, 2021 .

An Assessment of Extreme Learning Machine Model for Estimation of Flow Variables in Curved Irrigation Channels

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2021, SAI.

Uncertainty Assessment of Entropy-Based Circular Channel Shear Stress Prediction Models Using a Novel Method

Bahram Gharabaghi, Hossein Bonakdari, Ahmed M. A. Sattar, 2021, Geosciences.

Experimental and computational study of velocity fields in narrow or compound section sewers

Frédérique Larrarte, Hossein Bonakdari, H. Bonakdari, 2007 .

Assessment of water depth change patterns in 120° sharp bend using numerical model

Hossein Bonakdari, Azadeh Gholami, Ali Akbar Akhtari, 2016 .

Prediction of wave runup on beaches using Gene-Expression Programming and empirical relationships

Bahram Gharabaghi, Hossein Bonakdari, Tom E. Baldock, 2019, Coastal Engineering.

New insights into soil temperature time series modeling: linear or nonlinear?

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Theoretical and Applied Climatology.

Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments

Ahmad Sharafati, Sinan Q. Salih, Zaher Mundher Yaseen, 2020 .

An analysis of shear stress distribution in circular channels with sediment deposition based on Gene Expression Programming

Hossein Bonakdari, Isa Ebtehaj, Zohreh Sheikh Khozani, 2017 .

Sensitivity analysis of the factors affecting the discharge capacity of side weirs in trapezoidal channels using extreme learning machines

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2017 .

Development of robust evolutionary polynomial regression network in the estimation of stable alluvial channel dimensions

Bahram Gharabaghi, Hossein Bonakdari, Ahmed M. A. Sattar, 2020 .

Comparison of five different models in predicting the shear stress distribution in straight compound channels

Hossein Bonakdari, Zohreh Sheikh Khozani, 2016 .

Design of modified structure multi-layer perceptron networks based on decision trees for the prediction of flow parameters in 90° open-channel bends

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2016 .

Impact of the Confluence Angle on Flow Field and Flowmeter Accuracy in Open Channel Junctions

Amir Hossein Zaji, Hossein Bonakdari, Minoo Sharifipour, 2015 .

Developing finite volume method (FVM) in numerical simulation of flow pattern in 60° open channel bend

Hossein Bonakdari, Azadeh Gholami, Ali Akbar Akhtari, 2016 .

A reliable linear stochastic daily soil temperature forecast model

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Soil and Tillage Research.

Reservoir water level forecasting using group method of data handling

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2018, Acta Geophysica.

A method based on the Tsallis entropy for characterizing threshold channel bank profiles

Hossein Bonakdari, Azadeh Gholami, Abdolmajid Mohammadian, 2019, Physica A: Statistical Mechanics and its Applications.

Potential of radial basis function network with particle swarm optimization for prediction of sediment transport at the limit of deposition in a clean pipe

Hossein Bonakdari, Isa Ebtehaj, Sultan Noman Qasem, 2017, Sustainable Water Resources Management.

The uncertainty of the Shannon entropy model for shear stress distribution in circular channels

Bahram Gharabaghi, Hossein Bonakdari, Azadeh Gholami, 2020 .

Comparison between Shannon and Tsallis entropies for prediction of shear stress distribution in open channels

Hossein Bonakdari, Zohreh Sheikh, Mohtaram Tooshmalani, 2014, Stochastic Environmental Research and Risk Assessment.

A methodological approach of predicting threshold channel bank profile by multi-objective evolutionary optimization of ANFIS

Bahram Gharabaghi, Ali Jamali, Hossein Bonakdari, 2018 .

Turbulent velocity profiles : a new law for narrow channels

Frédérique Larrarte, Claude Joannis, Hossein Bonakdari, 2010 .

Velocity Distribution in Open Channel Flows: Analytical Approach for the Outer Region

Frédérique Larrarte, Claude Joannis, Hossein Bonakdari, 2013 .

Verification of equation for non-deposition sediment transport in flood water canals

Hossein Bonakdari, Isa Ebtehaj, 2014 .

An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018 .

Efficient shear stress distribution detection in circular channels using Extreme Learning Machines and the M5 model tree algorithm

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2017 .

Design of a fuzzy differential evolution algorithm to predict non-deposition sediment transport

Hossein Bonakdari, Isa Ebtehaj, 2017, Applied Water Science.

Performance evaluation of two different neural network and particle swarm optimization methods for prediction of discharge capacity of modified triangular side weirs

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2014 .

Assessment of evolutionary algorithms in predicting non-deposition sediment transport

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2015 .

Determination Discharge Capacity of Triangular Labyrinth Side Weir using Multi-Layer Neural Network (ANN-MLP)

Hossein Bonakdari, Azadeh Gholami, Sohrab Karimi, 2015 .

Enhanced formulation of the probability principle based on maximum entropy to design the bank profile of channels in geomorphic threshold

Hossein Bonakdari, Azadeh Gholami, Majid Mohammadian, 2019, Stochastic Environmental Research and Risk Assessment.

Design of a new hybrid artificial neural network method based on decision trees for calculating the Froude number in rigid rectangular channels

Hossein Bonakdari, Isa Ebtehaj, Aminuddin Ab. Ghani, 2016 .

Stable alluvial channel design using evolutionary neural networks

Bahram Gharabaghi, Ozgur Kisi, Hossein Bonakdari, 2018, Journal of Hydrology.

Uncertainty analysis of shear stress estimation in circular channels by Tsallis entropy

Bahram Gharabaghi, Hossein Bonakdari, Zohreh Sheikh Khozani, 2018, Physica A: Statistical Mechanics and its Applications.

Design of radial basis function-based support vector regression in predicting the discharge coefficient of a side weir in a trapezoidal channel

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2019, Applied Water Science.

Turbulent velocity profile in fully-developed open channel flows

Frédérique Larrarte, Claude Joannis, Hossein Bonakdari, 2008, Environmental Fluid Mechanics.

Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2015 .

Modeling of velocity fields by the entropy concept in narrow open channels

Hossein Bonakdari, Marjan Moazamnia, H. Bonakdari, 2015 .

Estimation of the Darcy–Weisbach friction factor for ungauged streams using Gene Expression Programming and Extreme Learning Machines

Bahram Gharabaghi, Hossein Bonakdari, Jan Adamowski, 2019, Journal of Hydrology.

Impact of Normalization and Input on ARMAX-ANN Model Performance in Suspended Sediment Load Prediction

Hossein Bonakdari, Hamid Moeeni, H. Bonakdari, 2018, Water Resources Management.

Assessment of geomorphological bank evolution of the alluvial threshold rivers based on entropy concept parameters

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2019, Hydrological Sciences Journal.

Prediction of boundary shear stress in circular and trapezoidal channels with entropy concept

Hossein Bonakdari, Zohreh Sheikh, 2016 .

Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018 .

Numerical investigation of flow field and flowmeter accuracy in open-channel junctions

Shahaboddin Shamshirband, Amir Hossein Zaji, Hossein Bonakdari, 2015 .

Gene expression programming-based approach for predicting the roller length of a hydraulic jump on a rough bed

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2019, ISH Journal of Hydraulic Engineering.

Study of sediment transport using soft computing technique

Hossein Bonakdari, Isa Ebtehaj, 2014 .

Effects of Width Ratios and Deviation Angles on the Mean Velocity in Inlet Channels Using Numerical Modeling and Artificial Neural Network Modeling

Amir Hossein Zaji, Hossein Bonakdari, Hojat Karami, 2017 .

Predicting Shear Stress Distribution in Rectangular Channels Using Entropy Concept

Hossein Bonakdari, H. Bonakdari, Zohreh Sheikh, 2015 .

Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

Zaher Mundher Yaseen, Hossein Bonakdari, Isa Ebtehaj, 2017 .

Using two soft computing methods to predict wall and bed shear stress in smooth rectangular channels

Amir Hossein Zaji, Hossein Bonakdari, Zohreh Sheikh Khozani, 2017, Applied Water Science.

Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology.

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Journal of environmental management.

Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods

Ali Jamali, Hossein Bonakdari, Isa Ebtehaj, 2019, Applied Water Science.

Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point

Mohammad Ali Ghorbani, Shahaboddin Shamshirband, Hossein Bonakdari, 2017 .

Calculating the energy consumption of electrocoagulation using a generalized structure group method of data handling integrated with a genetic algorithm and singular value decomposition

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2018, Clean Technologies and Environmental Policy.

Monthly reservoir inflow forecasting using a new hybrid SARIMA genetic programming approach

Hossein Bonakdari, Isa Ebtehaj, Hamid Moeeni, 2017, Journal of Earth System Science.

Velocity Field Simulation of Open-Channel Junction Using Artificial Intelligence Approaches

Amir Hossein Zaji, Hossein Bonakdari, A. Zaji, 2018, Iranian Journal of Science and Technology, Transactions of Civil Engineering.

Support vector regression for modified oblique side weirs discharge coefficient prediction

Shahaboddin Shamshirband, Amir Hossein Zaji, Hossein Bonakdari, 2016 .

Formulating the shear stress distribution in circular open channels based on the Renyi entropy

Hossein Bonakdari, Zohreh Sheikh Khozani, 2018 .

Stochastic model stationarization by eliminating the periodic term and its effect on time series prediction

Hossein Bonakdari, Seyed Ehsan Fatemi, Hamid Moeeni, 2017 .

Reliability and sensitivity analysis of robust learning machine in prediction of bank profile morphology of threshold sand rivers

Hossein Bonakdari, Isa Ebtehaj, Azadeh Gholami, 2020 .

Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2016 .

An efficient classified radial basis neural network for prediction of flow variables in sharp open-channel bends

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2019, Applied Water Science.

Predicting the velocity field in a 90° Open channel bend using a gene expression programming model

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 2015 .

Experimental and numerical investigation of the flow field in the gradual transition of rectangular to trapezoidal open channels

Hossein Bonakdari, Amir Ahmad Dehghani, Ali Akbar Akhtari, 2016 .

Establishment of relationship between mean and maximum velocities in narrow sewers.

Hossein Bonakdari, 2012, Journal of environmental management.

Closure to “An integrated framework of extreme learning machines for predicting scour at pile groups in clear water condition” by: I. Ebtehaj, H. Bonakdari, F. Moradi, B. Gharabaghi, Z. Sheikh Khozani

Bahram Gharabaghi, Hossein Bonakdari, Isa Ebtehaj, 2019, Coastal Engineering.

Numerical Analysis of Sediment Transport in Sewer Pipe

Hossein Bonakdari, Isa Ebtehaj, Hamed Azimi, 2015 .

A new hybrid decision tree method based on two artificial neural networks for predicting sediment transport in clean pipes

Amir Hossein Zaji, Hossein Bonakdari, Isa Ebtehaj, 2017, Alexandria Engineering Journal.

Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes

Bahram Gharabaghi, Amir Hossein Zaji, Hossein Bonakdari, 2020 .

A combined support vector machine-wavelet transform model for prediction of sediment transport in sewer

Shahaboddin Shamshirband, Hossein Bonakdari, Isa Ebtehaj, 2016 .

A support vector regression-firefly algorithm-based model for limiting velocity prediction in sewer pipes.

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2016, Water science and technology : a journal of the International Association on Water Pollution Research.

Bed load sediment transport estimation in a clean pipe using multilayer perceptron with different training algorithms

Hossein Bonakdari, Isa Ebtehaj, H. Bonakdari, 2016 .

Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model

Hossein Bonakdari, Hamid Moeeni, H. Bonakdari, 2017, Stochastic Environmental Research and Risk Assessment.