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Solving the problems of cluster analysis based on the oscillatory neural networks

Keywords:

A. V. Novikov – Post-graduate Student, Department Computer Systems and Software Technologies, St.-Petersburg State Polytechnical University. E-mail: spb.andr@yandex.ru
E. N. Benderskaya – Ph.D. (Eng.), Associate Professor, Department Computer Systems and Software Technologies, St.-Petersburg State Polytechnical University. E-mail: helen.bend@gmail.com


The first section of the article presents research of synchronization processes in oscillatory neural networks with different structures, estimates of the local and global synchronization of oscillators which are based on the Kuramoto model. The analyses of the main parameters that determine the synchronization of oscillators in the network are also described. The second part describes practical ways to use oscillatory networks for solving the problems of clustering of N-dimensional data and also ways to use the networks in question for solving the problem of graph coloring. There are practical recommendations for setting networks to achieve the most accurate solutions. The article presents the analysis of the main issues and use limitations of the oscillator networks.
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May 29, 2020

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