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Author

Yevgeniy V. Bodyanskiy

2 papers indexed here

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Open access Oct 2026

STACKING DOUBLE GENERALIZED NEO-FUZZY NEURON AND ITS FAST HYBRID LEARNING

The work is devoted to the development of a hybrid neuro-fuzzy architecture for improving the efficiency of data mining tasks. The subject of the study is the process of approximation of nonlinear dependencies and adaptive learning in data streams conditions using neuro-fuzzy models. The task of the research is to incr...

Oleh Zolotukhin, M. Kudryavtseva, Yevgeniy V. Bodyanskiy et al. · 0 citations
Open access Sep 2026

Online Nonlinear Bagging Using a Neuro-Neo-Fuzzy Approach for Data Stream Mining

This paper investigates bagging ensemble models and methods that enable the online aggregation of results from individual ensemble members. The primary objective is to design a computationally efficient metamodel capable of real-time parameter adaptation. To achieve this, the study focuses on developing the architectur...

V. Zaluzhnyi, Sergiy Popov, Yevgeniy V. Bodyanskiy · 0 citations

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