Artem Dolotov
Artem Dolotov
Kharkiv National University of Radio Electronics
Підтверджена електронна адреса в nure.ua
Назва
Посилання
Посилання
Рік
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
212008
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
202013
Evolving spiking wavelet-neuro-fuzzy self-learning system
Y Bodyanskiy, A Dolotov, O Vynokurova
Applied Soft Computing 14, 252-258, 2014
162014
A self-learning spiking neural network for fuzzy clustering task.
Y Bodyanskiy, A Dolotov
Computer Science (1407-7493) 36, 2008
152008
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
132013
The cascade orthogonal neural network
Y Bodyanskiy, A Dolotov, I Pliss, Y Viktorov
Institute of Information Theories and Applications FOI ITHEA, 2008
122008
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
92008
Analog-digital self-learning fuzzy spiking neural network in image processing problems
A Dolotov, Y Bodyanskiy
Image Processing/Vukovar: In-teh, 357-380, 2009
82009
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
72018
Viktorov Ye
B Ye, A Dolotov, I Pliss
The cascade orthogonal neural network. Advanced Research in Artificial …, 2008
72008
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
42018
Hybrid systems of computational intelligence evolved from self-learning spiking neural network
Y Bodyanskiy, A Dolotov
Methods and Instruments of Artificial Intelligence 17, 2010
42010
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
42009
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
42009
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, 131-166, 2019
32019
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
32013
A Spiking Neuron Model based on the Lambert W Function.
YV Bodyanskiy, A Dolotov
IJCCI, 542-546, 2013
22013
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
12016
Digital model of spiking neuron based on the Z-transform
Y Bodyanskiy, A Dolotov
2012 13th Biennial Baltic Electronics Conference, 207-210, 2012
12012
Spiking neural model for new clusters detection in sequential mode
A Dolotov, I Pliss
RN 1, 2, 2010
12010
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