Olena Vynokurova
Olena Vynokurova
Kharkiv National University of Radio Electronics
Verified email at nure.ua
Cited by
Cited by
Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification
Y Bodyanskiy, O Vynokurova
Information Sciences 220, 170-179, 2013
An adaptive learning algorithm for a wavelet neural network
Y Bodyanskiy, N Lamonova, I Pliss, O Vynokurova
Expert Systems 22 (5), 235-240, 2005
Single-frame image super-resolution based on singular square matrix operator
Y Rashkevych, D Peleshko, O Vynokurova, I Izonin, N Lotoshynska
2017 IEEE First Ukraine Conference on Electrical and Computer Engineering, 2017
Radial basis fuzzy wavelet neural network with adaptive activation membership function
Y Bodyanskiy, O Vynokurova, E Yegorova
Artificial Intelligence and Machine Learning Journal, ICGST 8 (II), 1-7, 2008
Cascaded GMDH-wavelet-neuro-fuzzy network
B Ye, O Vynokurova, N Teslenko
Proc 4th Int. Workshop on Inductive Modelling IWIM 2011, 22-30, 2011
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
Adaptive wavelet-neuro-fuzzy network in the forecasting and emulation tasks
Y Bodyanskiy, I Pliss, O Vynokurova
Int. J. on Information Theory and Applications 15 (1), 47-55, 2008
Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning
Y Bodyanskiy, O Vynokurova, G Setlak, D Peleshko, P Mulesa
Neurocomputing 230, 409-416, 2017
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
Hybrid GMDH-neural network of computational intelligence
Y Bodyanskiy, I Pliss, O Vynokurova
Proc. 3rd International Workshop on Inductive Modelling, Poland, Krynica, 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
Self-learning cascade spiking neural network for fuzzy clustering based on group method of data handling
YV Bodyanskiy, EA Vynokurova, AI Dolotov
Journal of Automation and Information Sciences 45 (3), 2013
Hybrid clustering-classification neural network in the medical diagnostics of reactive arthritis
Y Bodyanskiy, O Vynokurova, V Savvo, T Tverdokhlib, P Mulesa
arXiv preprint arXiv:1610.07857, 2016
Hybrid cascade neural network based on wavelet-neuron
Y Bodyanskiy, O Kharchenko, O Vynokurova
Information Theories and Application 18 (4), 335-343, 2011
Evolving spiking wavelet-neuro-fuzzy self-learning system
Y Bodyanskiy, A Dolotov, O Vynokurova
Applied Soft Computing 14, 252-258, 2014
Adaptive wavelet diagnostic neuro-fuzzy system for biomedical tasks
Y Bodyanskiy, I Perova, O Vynokurova, I Izonin
Proc. of 14th International Conference on Advanced Trends in, 2018
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
Hybrid generalized additive wavelet-neuro-fuzzy-system and its adaptive learning
Y Bodyanskiy, O Vynokurova, I Pliss, D Peleshko, Y Rashkevych
International Conference on Dependability and Complex Systems, 51-61, 2016
Hybrid generalized additive neuro-fuzzy system and its adaptive learning algorithms
Y Bodyanskiy, G Setlak, D Peleshko, O Vynokurova
2015 IEEE 8th International Conference on Intelligent Data Acquisition and, 2015
Wavelet-neuro-fuzzy network structure optimization using GMDH for the solving forecasting tasks
Y Bodyanskiy, O Vynokurova, A Dolotov, O Kharchenko
Proc. 4th Int. Conf. on Inductive Modelling ICIM 2013, 61-67, 2013
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