E-LIB Suche - Ergebnisse für: Bodyanskiy, Ye. V.

1

The Fast Modification of Evolutionary Bioinspired Cat Swarm..:

, In: 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL),

Shafronenko, A. Yu. ; Bodyanskiy, Ye. V. ; Pliss, I.P. - p. 548-552 , 2019

2

Kernel Fuzzy Kohonen's Clustering Neural Network and It's R..:

Bodyanskiy, Ye. V. ; Deineko, A. O. ; Eze, F. M.
Automatic Control and Computer Sciences. 52 (2018) 3 - p. 166-174 , 2018

Link: https://doi.org/10.3103/..

3

On-line kernel clustering based on the general regression n..:

Bodyanskiy, Ye. V. ; Deineko, A. O. ; Kutsenko, Ya. V.
Automatic Control and Computer Sciences. 51 (2017) 1 - p. 55-62 , 2017

Link: https://doi.org/10.3103/..

4

An evolving radial basis neural network with adaptive learn..:

Bodyanskiy, Ye. V. ; Tyshchenko, A. K. ; Deineko, A. A.
Automatic Control and Computer Sciences. 49 (2015) 5 - p. 255-260 , 2015

Link: https://doi.org/10.3103/..

5

Adaptive Method of Hybrid Learning for an Evolving Neuro-Fu..:

Bodyanskiy, Ye. V. ; Boiko, O. O. ; Pliss, I. P.
Cybernetics and Systems Analysis. 51 (2015) 4 - p. 500-505 , 2015

Link: https://doi.org/10.1007/..

6

Adaptive fuzzy clustering with a variable fuzzifier:

Kolchygin, B. V. ; Bodyanskiy, Ye. V.
Cybernetics and Systems Analysis. 49 (2013) 3 - p. 366-374 , 2013

Link: https://doi.org/10.1007/..

7

Memory-based neuro-fuzzy system for interpolation of reflec..:

Bodyanskiy, Ye. V. ; Kulishova, N. Ye.
Cybernetics and Systems Analysis. 44 (2008) 5 - p. 625-632 , 2008

Link: https://doi.org/10.1007/..

8

Adaptive learning of fuzzy BSB and GBSB neural models:

Bodyanskiy, Ye. V. ; Teslenko, N. A.
Cybernetics and Systems Analysis. 42 (2006) 6 - p. 786-794 , 2006

Link: https://doi.org/10.1007/..

9

Multilayer GMDH-neuro-fuzzy network based on extended neo-f..:

Bodyanskiy, Yevgeniy V ; Zaychenko, Yuriy P ; Hamidov, Galib.
http://journal.iasa.kpi.ua/article/view/221271/223557. , 2020

Link: http://journal.iasa.kpi...

10

Adaptive multivariate hybrid neuro-fuzzy system and its on-..:

Bodyanskiy, Ye ; Vynokurova, O. ; Setlak, G...
Neurocomputing. 230 (2017) - p. 409-416 , 2017

Link: https://doi.org/10.1016/..

11

A hybrid cascade neural network with an optimized pool in e..:

Bodyanskiy, Ye. ; Tyshchenko, O. ; Kopaliani, D.
Soft Computing. 19 (2014) 12 - p. 3445-3454 , 2014

Link: https://doi.org/10.1007/..

12

Evolving spiking wavelet-neuro-fuzzy self-learning system:

Bodyanskiy, Ye. ; Dolotov, A. ; Vynokurova, O.
Applied Soft Computing. 14 (2014) - p. 252-258 , 2014

Link: https://doi.org/10.1016/..

13

Self-learning and adaptive algorithms for business applicat..

a guide to adaptive neuro-fuzzy systems for fuzzy clusterin... Emerald points

Hu, Zhengbing ; Bodyanskiy, Yevgeniy V. ; Tyshchenko, Oleksii - First edition . , 2019

Link: https://doi.org/10.1108/..

14

Self-learning and adaptive algorithms for business applicat..

Emerald points

Hu, Zhengbing ; Bodyanskiy, Yevgeniy V ; Tyshchenko, Oleksii - First edition . , 2019

Link: https://search.ebscohost..

15

A Hybrid Cascade Neuro–Fuzzy Network with Pools of Extended..:

Bodyanskiy, Yevgeniy V. ; Tyshchenko, Oleksii K.
International Journal of Applied Mathematics and Computer Science. 29 (2019) 3 - p. 477-488 , 2019

Link: https://doi.org/10.2478/..