| Neural network approach to forecasting of quasiperiodic financial time series Y Bodyanskiy, S Popov European Journal of Operational Research 175 (3), 1357-1366, 2006 | 136 | 2006 |
| Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification Y Bodyanskiy, O Vynokurova Information Sciences 220, 170-179, 2013 | 99 | 2013 |
| An adaptive learning algorithm for a neo fuzzy neuron. YV Bodyanskiy, I Kokshenev, V Kolodyazhniy EUSFLAT Conf., 375-379, 2003 | 76 | 2003 |
| A multidimensional extended neo-fuzzy neuron for facial expression recognition Z Hu, YV Bodyanskiy, NY Kulishova, OK Tyshchenko International Journal of Intelligent Systems and Applications (IJISA) 9 (9 …, 2017 | 72 | 2017 |
| 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 | 70 | 2003 |
| Computational intelligence techniques for data analysis Y Bodyanskiy Gesellschaft für Informatik e. V., 2005 | 65 | 2005 |
| An adaptive learning algorithm for a wavelet neural network Y Bodyanskiy, N Lamonova, I Pliss, O Vynokurova Expert Systems 22 (5), 235-240, 2005 | 62 | 2005 |
| An adaptive learning algorithm for a neuro-fuzzy network Y Bodyanskiy, V Kolodyazhniy, A Stephan Computational Intelligence. Theory and Applications: International …, 2001 | 61 | 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 | 40 | 2016 |
| Fuzzy clustering data arrays with omitted observations Z Hu, YV Bodyanskiy, OK Tyshchenko, VM Tkachov International Journal of Intelligent Systems and Applications (IJISA) 9 (6 …, 2017 | 39 | 2017 |
| Decomposition method for synthesizing the computer system architecture V Mukhin, N Kuchuk, N Kosenko, R Artiukh, A Yelizyeva, O Maleyeva, ... Advances in Computer Science for Engineering and Education II, 289-300, 2020 | 38 | 2020 |
| Multilayer neuro-fuzzy network for short term electric load forecasting Y Bodyanskiy, S Popov, T Rybalchenko Computer Science–Theory and Applications: Third International Computer …, 2008 | 38 | 2008 |
| Adaptive noise cancellation for multi-sensory signals SA Vorobyov, A Cichocki, YV Bodyanskiy Fluctuation and noise letters 1 (01), R13-R24, 2001 | 38 | 2001 |
| Fuzzy clustering data given in the ordinal scale Z Hu, YV Bodyanskiy, OK Tyshchenko, VO Samitova arXiv preprint arXiv:1701.03571, 2017 | 36 | 2017 |
| Usage of convolutional neural network for multispectral image processing applied to the problem of detecting fire hazardous forest areas V Yaloveha, D Hlavcheva, A Podorozhniak Advanced Information Systems 3 (1), 116-120, 2019 | 35 | 2019 |
| The method of variant synthesis of information and communication network structures on the basis of the graph and set-theoretical models V Mukhin, Y Romanenkov, J Bilokin, A Rohovyi, A Kharazii, V Kosenko, ... International Journal of Intelligent Systems and Applications 9 (11), 42, 2017 | 35 | 2017 |
| Possibilistic fuzzy clustering for categorical data arrays based on frequency prototypes and dissimilarity measures Z Hu, YV Bodyanskiy, OK Tyshchenko, VO Samitova International Journal of Intelligent Systems and Applications 9 (5), 55, 2017 | 34 | 2017 |
| An evolving connectionist system for data stream fuzzy clustering and its online learning YV Bodyanskiy, OK Tyshchenko, DS Kopaliani Neurocomputing 262, 41-56, 2017 | 33 | 2017 |
| An extended neo-fuzzy neuron and its adaptive learning algorithm YV Bodyanskiy, OK Tyshchenko, DS Kopaliani arXiv preprint arXiv:1610.06483, 2016 | 32 | 2016 |
| Principles and structure of the methodology of risk-adaptive management of parameters of information and telecommunication networks of critical application systems V Kosenko Сучасний стан наукових досліджень та технологій в промисловості, 46-52, 2017 | 31 | 2017 |
