Dmytro Dudyk

Work place: Lviv Polytechnic National University, Lviv, 79013, Ukraine



Research Interests:


Dmytro Dudyk is pursuing a master’s degree in the field of Systems Analysis from the Department of Information Systems and Networks at the Lviv Polytechnic National University, Lviv, Ukraine.

Author Articles
Data Clustering by Chaotic Oscillatory Neural Networks with Dipole Synaptic Connections

By Roman Peleshchak Vasyl Lytvyn Ivan Peleshchak Dmytro Dudyk Dmytro Uhryn

DOI:, Pub. Date: 8 Jun. 2024

This article introduces a novel approach to data clustering based on the oscillatory chaotic neural network with dipole synaptic connections. The conducted research affirms that the proposed model effectively facilitates the formation of clusters of objects with similar properties due to the use of a slowly decreasing function of the dipole synaptic strength. The studies demonstrate that the degree of neuron synchronization in networks with dipole synaptic connections surpasses that in networks with Gaussian synaptic connections. The findings also indicate an increase in the interval of the resolution range in the model featuring dipole neurons, underscoring the effectiveness of the proposed method.

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