| Dynamic analysis of nonlinear frames by Prandtl neural networks A Joghataie, M Farrokh Journal of engineering mechanics 134 (11), 961-969, 2008 | 56 | 2008 |
| Modeling hysteretic deteriorating behavior using generalized Prandtl neural network M Farrokh, MS Dizaji, A Joghataie Journal of Engineering Mechanics 141 (8), 04015024, 2015 | 40 | 2015 |
| Mechanical and thermal buckling loads of rectangular FG plates by using higher-order unified formulation M Farrokh, M Afzali, E Carrera Mechanics of Advanced Materials and Structures 28 (6), 608-617, 2021 | 35 | 2021 |
| Parameter Identification and Dynamic Response Analysis of a Modified Prandtl-Ishlinskii Asymmetric Hysteresis Model via Least-Mean Square algorithm and Particle Swarm Optimization T Wang, M Noori, WA Altabey, Z Li Proc. IMechE Part L J. Mater. Des. Appl, 2021 | 21 | 2021 |
| Hysteresis simulation using least-squares support vector machine M Farrokh Journal of Engineering Mechanics 144 (9), 04018084, 2018 | 19 | 2018 |
| Adaptive simulation of hysteresis using neuro-Madelung model M Farrokh, MS Dizaji Journal of Intelligent Material Systems and Structures 27 (13), 1713-1724, 2016 | 17 | 2016 |
| Thermal buckling loads of rectangular FG plates with temperature-dependent properties using Carrera Unified Formulation M Afzali, M Farrokh, E Carrera Composite Structures 295, 115787, 2022 | 16 | 2022 |
| Optimum distribution of materials for functionally graded rectangular plates considering thermal buckling M Farrokh, M Taheripur, E Carrera Composite Structures 289, 115401, 2022 | 15 | 2022 |
| Adaptive modeling of highly nonlinear hysteresis using preisach neural networks M Farrokh, A Joghataie Journal of Engineering Mechanics 140 (4), 06014002, 2014 | 13 | 2014 |
| Hysteresis identification using extended preisach neural network M Farrokh, FS Dizaji, MS Dizaji Neural Processing Letters, 1-25, 2022 | 10 | 2022 |
| Universal hysteresis identification using extended Preisach neural network M Farrokh, MS Dizaji, FS Dizaji, N Moradinasab arXiv preprint arXiv:2001.01559, 2019 | 8 | 2019 |
| Matrix analysis of nonlinear trusses using prandtl-2 neural networks A Joghataie, M Farrokh Journal of sound and vibration 330 (20), 4813-4826, 2011 | 8 | 2011 |
| Feed-forward controlling of servo-hydraulic actuators utilizing a least-squares support-vector machine AH Sharghi, R Karami Mohammadi, M Farrokh, S Zolfagharysaravi Actuators 9 (1), 11, 2020 | 6 | 2020 |
| Neuro-hybrid simulation of non-linear frames using Prandtl neural networks AH Sharghi, R Karami Mohammadi, M Farrokh Proceedings of the institution of civil engineers-structures and buildings …, 2022 | 5 | 2022 |
| An extension of Carrera unified formulation in polar coordinates for mechanical and thermal buckling analysis of axisymmetric FG circular plate using FEM M Farrokh, HS Mousavi Fard Mechanics of Advanced Materials and Structures 31 (8), 1803-1811, 2024 | 4 | 2024 |
| Optimization of porosity distribution of FGP beams considering buckling strength M Farrokh, M Taheripur Structural Engineering and Mechanics 79 (6), 711-722, 2021 | 4 | 2021 |
| The effect of laminate layers and follower force on optimum flutter speed of composite wing MR Fallah, M Farrokh, S Irani Modares Mechanical Engineering 16 (6), 226-236, 2016 | 4 | 2016 |
| Flutter instability boundary determination of composite wings using adaptive support vector machines and optimization M Farrokh, MR Fallah Journal of the Brazilian Society of Mechanical Sciences and Engineering 45 …, 2023 | 3 | 2023 |
| Dynamic identification of inelastic shear frames by using Prandtl-Ishlinskii model M Farrokh, A Joghataie Proc., 18th Int. Association of Science and Technology for Development …, 2007 | 3 | 2007 |
| An Extreme Learning Machine for the Simulation of Different Hysteretic Behaviors M Farrokh, F Ghasemi, M Noori, T Wang, V Sarhosis Applied Sciences 12 (23), 12424, 2022 | 2 | 2022 |
