Profile of editorial board member
Yevgeniy V. Bodyanskiy
ORCID: https://orcid.org/0000-0001-5418-2143
Degree: Dr. Sci. (Eng.), 1990.
Research interests: Hybrid Computational Intelligence Systems, Data Stream Mining, Big Data, Deep Learning, Evolving Systems.
Affiliation: Kharkiv National University of Radio Electronics, Professor at Artificial Inteligence Department, Head of Control Systems Research Laboratory.
Education: Kharkiv Institute of Radio Electronics, Automatics and Tele-mechanics, 1971.
Contact: yevgeniy.bodyanskiy@nure.ua.
Publications
- Bodyanskiy Ye. V., Tyshchenko O. K., Boiko O. O., Hu Zh. A Neuro-Fuzzy Kohonen Network for Data Stream Possibilistic Clustering and Its Online Self-Learning Procedure. Applied Soft Computing. Vol. 68. 2018. P. 710-718.
- Bodyanskiy Y., Vynokurova O., Setlak G., Peleshko D., Mulesa P. Adaptive multivariate hybrid neuro-fuzzy system and its on-board fast learning. Neurocomputing, Vol. 230. 2017. P. 409-416.
- Bodyanskiy Ye. V., Kulishova N. Y., Tyshchenko O. K., Hu Z. A multidimensional extended neo-fuzzy neuron for facial expression recognition. International Journal of Intelligent Systems and Applications. 2017. 9 (9). P. 29-36.
- Bodyanskiy Ye. V., Tyshchenko O. K., Kopaliani D. S. A hybrid cascade neural network with an optimized pool in each cascade. Soft Computing, Vol. 19, Iss. 12. 2015. P. 3445-3454.
- Bodyanskiy Ye. V., Boiko O. O., Pliss I. P. Adaptive method of hybrid learning for evolving neuro-fuzzy system. Cybernetics and Systems Analysis. Vol. 51, Iss. 4. 2015. P. 500-505.
