| An adaptive learning algorithm for a wavelet neural network Y Bodyanskiy, N Lamonova, I Pliss, O Vynokurova Expert Systems 22 (5), 235-240, 2005 | 61 | 2005 |
| Adaptive wavelet-neuro-fuzzy network in the forecasting and emulation tasks Y Bodyanskiy, I Pliss, O Vynokurova Int. journal on information theory and applications 15 (1), 47-55, 2008 | 29 | 2008 |
| Hybrid neuro-neo-fuzzy system and its adaptive learning algorithm Y Bodyanskiy, O Vynokurova, G Setlak, I Pliss 2015 Xth International Scientific and Technical Conference" Computer …, 2015 | 27 | 2015 |
| Fast learning algorithm for deep evolving GMDH-SVM neural network in data stream mining tasks Y Bodyanskiy, O Vynokurova, I Pliss, G Setlak, P Mulesa 2016 IEEE First International Conference on Data Stream Mining & Processing …, 2016 | 26 | 2016 |
| Hybrid GMDH-neural network of computational intelligence Y Bodyanskiy, O Vynokurova, I Pliss Proc. 3rd Int. Workshop on Inductive Modeling, Krynica, Poland, 100-107, 2009 | 24 | 2009 |
| Flexible neo-fuzzy neuron and neuro-fuzzy network for monitoring time series properties Y Bodyanskiy, I Pliss, O Vynokurova Information Technology and Management Science 16 (1), 47-52, 2013 | 21 | 2013 |
| Adaptive neuro-fuzzy Kohonen network with variable fuzzifier Y Bodyanskiy, B Kolchygin, I Pliss Inform. Theories and Appl 18 (3), 215, 2011 | 21 | 2011 |
| Diagnostic neuro-fuzzy system and its learning in medical data mining tasks in conditions of uncertainty about numbers of attributes and diagnoses I Pliss, I Perova Automatic Control and Computer Sciences 51, 391-398, 2017 | 19 | 2017 |
| Deep hybrid system of computational intelligence with architecture adaptation for medical fuzzy diagnostics I Perova, I Pliss International Journal of Intelligent Systems and Applications 9 (7), 12, 2017 | 18 | 2017 |
| Hybrid wavelet-neuro-fuzzy system using adaptive W-neurons Y Bodyanskiy, I Pliss, O Vynokurova Wissenschaftliche Berichte, FH Zittau/Goerlitz 106 (2454-2490), 301-308, 2010 | 17 | 2010 |
| The cascade orthogonal neural network Y Bodyanskiy, A Dolotov, I Pliss, Y Viktorov Institute of Information Theories and Applications FOI ITHEA, 2008 | 15 | 2008 |
| Адаптивное обобщенное прогнозирование многомерных случайных последовательностей ЕВ Бодянский, ИП Плисс, ТВ Соловьева Доклады АН УССР.–1989.–А, 73-75, 1989 | 15 | 1989 |
| Discrete adaptive identification and extrapolation of two-dimensional fields Y Bodyanskiy, I Pliss, V Timofeev Pattern recognition and image analysis 5 (3), 410-416, 1995 | 14 | 1995 |
| Adaptive generalized forecasting of multivariate stochastic signals Y Bodyanskiy, I Pliss Proc. Latvian Sign. Proc. Int. Conf 2, 80-83, 1990 | 14 | 1990 |
| Многошаговые оптимальные упредители многомерных нестационарных стохастических процессов ЕВ Бодянский, ИП Плисс, ТВ Соловьева Доклады АН УССР.–1986.–Сер. А, 47-49, 1986 | 14 | 1986 |
| The Fast Modification of Evolutionary Bioinspired Cat Swarm Optimization Method AY Shafronenko, YV Bodyanskiy, IP Pliss 2019 IEEE 8th International Conference on Advanced Optoelectronics and …, 2019 | 13 | 2019 |
| Deep evolving GMDH-SVM-neural network and its learning for Data Mining tasks G Setlak, Y Bodyanskiy, O Vynokurova, I Pliss 2016 Federated Conference on Computer Science and Information Systems …, 2016 | 13 | 2016 |
| Hybrid generalized additive wavelet-neuro-fuzzy-system and its adaptive learning Y Bodyanskiy, O Vynokurova, I Pliss, D Peleshko, Y Rashkevych Dependability Engineering and Complex Systems: Proceedings of the Eleventh …, 2016 | 13 | 2016 |
| Hybrid adaptive systems of computational intelligence and their on-line learning for green IT in energy management tasks Y Bodyanskiy, O Vynokurova, I Pliss, D Peleshko Green IT Engineering: Concepts, Models, Complex Systems Architectures, 229-244, 2017 | 12 | 2017 |
| Growing neural networks using nonconventional activation functions Y Bodyanskiy, I Pliss, O Slipchenko Institute of Information Theories and Applications FOI ITHEA, 2007 | 12 | 2007 |
