| Искусственные нейронные сети: архитектуры, обучение, применения ЕВ Бодянский, ОГ Руденко Харьков: Телетех 372, 2004 | 318 | 2004 |
| Штучні нейронні мережі ОГ Руденко, ЄВ Бодянський Харків: Компанія СМІТ, 2006 | 140 | 2006 |
| Основы теории искусственных нейронных сетей ОГ Руденко, ЕВ Бодянский Харьков: Телетех 317, 2002 | 125 | 2002 |
| Neural network approach to forecasting of quasiperiodic financial time series Y Bodyanskiy, S Popov European Journal of Operational Research 175 (3), 1357-1366, 2006 | 117 | 2006 |
| Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification Y Bodyanskiy, O Vynokurova Information Sciences 220, 170-179, 2013 | 85 | 2013 |
| Нейро-фаззи сети Петри в задачах моделирования сложных систем ЕВ Бодянский, ЕИ Кучеренко, АИ Михалев Дніпропетровськ: Системні технології, 2005 | 74 | 2005 |
| An adaptive learning algorithm for a neo fuzzy neuron. Y Bodyanskiy, I Kokshenev, V Kolodyazhniy EUSFLAT Conf., 375-379, 2003 | 64 | 2003 |
| Computational intelligence techniques for data analysis Y Bodyanskiy Marktplatz Internet: Von e-Learning bis e-Payment, 13. Leipziger Informatik …, 2005 | 56 | 2005 |
| A new learning algorithm for a forecasting neuro-fuzzy network P Otto, Y Bodyanskiy, V Kolodyazhniy Integrated Computer-Aided Engineering 10 (4), 399-409, 2003 | 56 | 2003 |
| A new learning algorithm for a forecasting neuro-fuzzy network P Otto, Y Bodyanskiy, V Kolodyazhniy Integrated Computer-Aided Engineering 10 (4), 399-409, 2003 | 56 | 2003 |
| An adaptive learning algorithm for a wavelet neural network Y Bodyanskiy, N Lamonova, I Pliss, O Vynokurova Expert Systems 22 (5), 235-240, 2005 | 53 | 2005 |
| Artificial neural networks: architectures, learning, applications Y Bodyanskiy, O Rudenko Kharkov: Teletech, 2004 | 46 | 2004 |
| Artificial neural networks: architectures, learning, applications Y Bodyanskiy, O Rudenko Kharkov: Teletech, 2004 | 46 | 2004 |
| An adaptive learning algorithm for a neuro-fuzzy network Y Bodyanskiy, V Kolodyazhniy, A Stephan International Conference on Computational Intelligence, 68-75, 2001 | 45 | 2001 |
| The neo-fuzzy neural network structure optimization using the GMDH for the solving forecasting and classification problems B Ye, Z Yu, E Pavlikovskaya, M Samarina, V Ye Proc. Int. Workshop on Inductive Modeling.—Krynica, Poland, 77-89, 2009 | 40 | 2009 |
| Implementation of search mechanism for implicit dependences in process mining O Kalynychenko, S Chalyi, Y Bodyanskiy, V Golian, N Golian 2013 IEEE 7th International Conference on Intelligent Data Acquisition and …, 2013 | 38 | 2013 |
| Інтелектуальні технології моделювання хірургічних втручань ОГ Аврунін, СБ Безшапочний, ЄВ Бодянський, ВВ Семенець, ... ХНУРЭ, 2018 | 36 | 2018 |
| New recursive learning algorithms for fuzzy Kohonen clustering network Y Gorshkov, V Kolodyazhniy, Y Bodyanskiy Proc. 17th Int. Workshop on Nonlinear Dynamics of Electronic Systems, 58-61, 2009 | 35 | 2009 |
| Adaptive noise cancellation for multi-sensory signals SA Vorobyov, A Cichocki, YV Bodyanskiy Fluctuation and noise letters 1 (01), R13-R24, 2001 | 35 | 2001 |
| Adaptive learning of an evolving cascade neo-fuzzy system in data stream mining tasks YV Bodyanskiy, OK Tyshchenko, DS Kopaliani Evolving Systems 7 (2), 107-116, 2016 | 34 | 2016 |
Olena VynokurovaKharkiv National University of Radio ElectronicsVerified email at nure.ua
