| Handbook of neural computation P Samui, SS Roy, VE Balas Academic Press, 2017 | 93 | 2017 |
| Adolescent Identity Search Algorithm (AISA): A novel metaheuristic approach for solving optimization problems E Bogar, S Beyhan Applied Soft Computing 95, 106503, 2020 | 72 | 2020 |
| Fuzzy functions based ARX model and new fuzzy basis function models for nonlinear system identification S Beyhan, M Alci Applied Soft Computing 10 (2), 439-444, 2010 | 49 | 2010 |
| Runge–Kutta model-based nonlinear observer for synchronization and control of chaotic systems S Beyhan ISA transactions 52 (4), 501-509, 2013 | 39 | 2013 |
| Stable modeling based control methods using a new RBF network S Beyhan, M Alcı ISA transactions 49 (4), 510-518, 2010 | 37 | 2010 |
| Adaptive uncertainty compensation-based nonlinear model predictive control with real-time applications M Çetin, B Bahtiyar, S Beyhan Neural Computing and Applications 31, 1029-1043, 2019 | 21 | 2019 |
| Comprehensive modeling of U-tube steam generators using extreme learning machines S Beyhan, K Kavaklioglu IEEE Transactions on Nuclear Science 62 (5), 2245-2254, 2015 | 21 | 2015 |
| Affine TS fuzzy model-based estimation and control of Hindmarsh–Rose neuronal model S Beyhan IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (8), 2342-2350, 2017 | 20 | 2017 |
| Extended fuzzy function model with stable learning methods for online system identification S Beyhan, M Alci International Journal of Adaptive Control and Signal Processing 25 (2), 168-182, 2011 | 20 | 2011 |
| Takagi-Sugeno fuzzy observer and extended-Kalman filter for adaptive payload estimation S Beyhan, Z Lendek, M Alcı, R Babuška 2013 9th Asian Control Conference (ASCC), 1-6, 2013 | 18 | 2013 |
| Adaptive fuzzy and sliding-mode control of a robot manipulator with varying payload S Beyhan, Z Lendek, R Babuška, M Wisse, M Alcı 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 16 | 2011 |
| Adaptive fuzzy terminal sliding-mode observer with experimental applications S Beyhan International Journal of Fuzzy Systems 18, 585-594, 2016 | 15 | 2016 |
| Symbolic Regression Based Extreme Learning Machine Models for System Identification BEK Guzel, S Beyhan Neural Processing Letters, 2021 | 14 | 2021 |
| Prediction of baking quality using machine learning based intelligent models H Isleroglu, S Beyhan Heat and Mass Transfer 56, 2045–2055, 2020 | 12 | 2020 |
| Adaptive fuzzy-Chebyshev network control of a conducting polymer actuator S Beyhan, M Itik Journal of Intelligent Material Systems and Structures 27 (8), 1019-1029, 2016 | 12 | 2016 |
| A novel online LS-SVM approach for regression and classification E Dilmen, S Beyhan IFAC-PapersOnLine 50 (1), 8642-8647, 2017 | 11 | 2017 |
| Adaptive stabilization of uncertain cortex dynamics under joint estimates and input constraints M Çetin, S Beyhan IEEE Transactions on Circuits and Systems II: Express Briefs 66 (4), 627-631, 2018 | 10 | 2018 |
| An enhanced online LS-SVM approach for classification problems E Dilmen, S Beyhan Soft Computing 22, 4457-4475, 2018 | 9 | 2018 |
| A new RBF network based sliding-mode control of nonlinear systems S Beyhan, M Alci 2009 International Multiconference on Computer Science and Information …, 2009 | 9 | 2009 |
| Fuzzy Emulated Symbolic Regression for Modelling and Control of Markov Jump Systems With Unknown Transition Rates S Beyhan IEEE Transactions on Circuits and Systems II: Express Briefs 69 (3), 1352-1356, 2022 | 8 | 2022 |
Musa AlciEge University在 ege.edu.tr 的电子邮件经过验证
