Azadeh Gholami

发表

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 .

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

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

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..

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.

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.

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

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

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 .

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 .

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 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.

A learned soccer goalkeeper Petri net model

Bahram Sadeghi Bigham, Azadeh Gholami, 2017, 2017 Artificial Intelligence and Robotics (IRANOPEN).

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.

Soccer Goalkeeper Task Modeling and Analysis by Petri Nets

Bahram Sadeghi Bigham, Azadeh Gholami, 2018 .

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.

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.

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

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

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

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

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 .

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 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.

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

Bahram Gharabaghi, Hossein Bonakdari, Azadeh Gholami, 2020 .

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

Bahram Gharabaghi, Ali Jamali, Hossein Bonakdari, 2018 .

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.

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.

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.

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 .

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.

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 .

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 .