| 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 | 26 | 2013 |
| Image processing using self-learning fuzzy spiking neural network in the presence of overlapping classes Y Bodyanskiy, A Dolotov 2008 11th International Biennial Baltic Electronics Conference, 213-216, 2008 | 23 | 2008 |
| Evolving spiking wavelet-neuro-fuzzy self-learning system Y Bodyanskiy, A Dolotov, O Vynokurova Applied Soft Computing 14, 252-258, 2014 | 20 | 2014 |
| A SELF-LEARNING SPIKING NEURAL NETWORK FOR FUZZY CLUSTERING TASK. Y Bodyanskiy, A Dolotov Computer Science (1407-7493) 36, 2008 | 18 | 2008 |
| 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 | 17 | 2013 |
| Fuzzy clustering of distorted observations based on optimal expansion using partial distances A Shafronenko, A Dolotov, Y Bodyanskiy, G Setlak 2018 IEEE Second International Conference on Data Stream Mining & Processing …, 2018 | 16 | 2018 |
| The cascaded orthogonal neural network Y Bodyanskiy, A Dolotov, I Pliss, Y Viktorov Int. J. Information Science and Computing 2, 13-20, 2008 | 15 | 2008 |
| Fuzzy possibilistic clustering using self-learning spiking neural network Y Bodyanskiy, A Dolotov, I Pliss, Y Viktorov Wissenschaftliche Berichte der Hochschule Zittau/Goerlitz 100, 53-60, 2008 | 10 | 2008 |
| Analog-digital self-learning fuzzy spiking neural network in image processing problems A Dolotov, Y Bodyanskiy Image Processing/Vukovar: In-teh, 357-380, 2009 | 8 | 2009 |
| Viktorov Ye B Ye, A Dolotov, I Pliss The cascade orthogonal neural network. Advanced Research in Artificial …, 2008 | 7 | 2008 |
| A Spiking Neuron Model based on the Lambert W Function. YV Bodyanskiy, A Dolotov IJCCI, 542-546, 2013 | 6 | 2013 |
| Associative probabilistic neuro-fuzzy system for data classification under short training set conditions Y Bodyanskiy, A Dolotov, D Peleshko, Y Rashkevych, O Vynokurova International Conference on Dependability and Complex Systems, 56-63, 2018 | 5 | 2018 |
| Online time series changes detection based on neuro-fuzzy approach Y Bodyanskiy, A Dolotov, D Peleshko, Y Rashkevych, O Vynokurova Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision …, 2019 | 4 | 2019 |
| Hybrid systems of computational intelligence evolved from self-learning spiking neural network Y Bodyanskiy, A Dolotov Methods and Instruments of Artificial Intelligence 17, 2010 | 4 | 2010 |
| A Multilayered Self-Learning Spiking Neural Network and its Learning Algorithm Based on'Winner-Takes-More'Rule in Hierarchical Clustering. Y Bodyanskiy, A Dolotov Computer Science (1407-7493) 40, 2009 | 4 | 2009 |
| Self-learning fuzzy spiking neural network as a nonlinear pulse-position threshold detection dynamic system based on second-order critically damped response units Y Bodyanskiy, A Dolotov, I Pliss Institute of Information Theories and Applications FOI ITHEA, 2009 | 4 | 2009 |
| A fast learning algorithm of self-learning spiking neural network Y Bodyanskiy, A Dolotov, I Pliss, M Malyar 2016 IEEE First International Conference on Data Stream Mining & Processing …, 2016 | 3 | 2016 |
| Wavelet-Neuro-Fuzzy-Network Structure Optimization Using GMDH for the Solving Forecasting Tasks B Ye, O Vynokurova, A Dolotov, O Kharchenko Proc. 4th Int. Conf. on Inductive Modelling ICIM, 61-67, 2013 | 3 | 2013 |
| Digital model of spiking neuron based on the Z-transform Y Bodyanskiy, A Dolotov 2012 13th Biennial Baltic Electronics Conference, 207-210, 2012 | 1 | 2012 |
| Spiking neural model for new clusters detection in sequential mode A Dolotov, I Pliss RN 1, 2, 2010 | 1 | 2010 |
Yevgeniy BodyanskiyKharkiv National University of Radio Electronics, Artificial Intelligence Department, ControlПідтверджена електронна адреса в nure.ua
