A. Gholami

H. Bonakdari, A. Gholami, A. Azari, 2023, 8TH ENGINEERING AND 2ND INTERNATIONAL CONFERENCE FOR COLLEGE OF ENGINEERING – UNIVERSITY OF BAGHDAD: COEC8-2021 Proceedings.

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

Amir Hossein Zaji, Hossein Bonakdari, Azadeh Gholami, 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.

Modelling Stable Alluvial River Profiles Using Back Propagation-Based Multilayer Neural Networks

H. Bonakdari, Bahram Gharabaghi, A. Gholami, 2019, Advances in Intelligent Systems and Computing.

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 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.

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

A. Zaji, H. Bonakdari, A. Gholami, 2018, Neural Computing and Applications.

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 .

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

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

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.

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.

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

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

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

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

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 .

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

Bahram Gharabaghi, Hossein Bonakdari, Azadeh Gholami, 2020 .