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Azadeh Gholami
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2020 – today
- 2022
- [c2]Hossein Bonakdari, Azadeh Gholami, Isa Ebtehaj, Bahram Gharabaghi:
An Improved Architecture of Group Method of Data Handling for Stability Evaluation of Cross-sectional Bank on Alluvial Threshold Channels. SAI (1) 2022: 769-796 - 2021
- [c1]Hossein Bonakdari, Azadeh Gholami, Bahram Gharabaghi, Isa Ebtehaj, Ali Akbar Akhtari:
An Assessment of Extreme Learning Machine Model for Estimation of Flow Variables in Curved Irrigation Channels. SAI (3) 2021: 259-269 - 2020
- [j7]Hossein Bonakdari, Azadeh Gholami, Amir Mosavi
, Amin Kazemian-Kale-Kale
A Novel Comprehensive Evaluation Method for Estimating the Bank Profile Shape and Dimensions of Stable Channels Using the Maximum Entropy Principle. Entropy 22(11): 1218 (2020) - [j6]Azadeh Gholami, Hossein Bonakdari
A comparison of artificial intelligence-based classification techniques in predicting flow variables in sharp curved channels. Eng. Comput. 36(1): 295-324 (2020) - [i1]Amin Kazemian-Kale-Kale, Azadeh Gholami, Mohammad Rezaie-Balf, Amir Mosavi, Ahmed M. A. Sattar, Bahram Gharabaghi, Hossein Bonakdari:
A Bayesian Monte-Carlo Uncertainty Model for Assessment of Shear Stress Entropy. CoRR abs/2001.04802 (2020)
2010 – 2019
- 2019
- [j5]Azadeh Gholami, Hossein Bonakdari
Predicting stable alluvial channel profiles using emotional artificial neural networks. Appl. Soft Comput. 78: 420-437 (2019) - [j4]Azadeh Gholami, Hossein Bonakdari
Reliable method of determining stable threshold channel shape using experimental and gene expression programming techniques. Neural Comput. Appl. 31(10): 5799-5817 (2019) - 2018
- [j3]Azadeh Gholami, Hossein Bonakdari
New radial basis function network method based on decision trees to predict flow variables in a curved channel. Neural Comput. Appl. 30(9): 2771-2785 (2018) - 2017
- [j2]Saba Shaghaghi, Hossein Bonakdari
Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design. Appl. Math. Comput. 313: 271-286 (2017) - 2016
- [j1]Azadeh Gholami, Hossein Bonakdari
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. Appl. Soft Comput. 48: 563-583 (2016)
Coauthor Index
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