Oscillatory neural networks based on the Kuramoto model for cluster analysis

This paper presents the results of a study of synchronization processes in oscillatory neural networks of various structures based on the Kuramoto model. The estimates of synchronization processes occurring in the oscillatory networks are examined. The results of studying the practical application o...

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Veröffentlicht in:	Pattern recognition and image analysis 2014-09, Vol.24 (3), p.365-371
Hauptverfasser:	Novikov, A. V., Benderskaya, E. N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Cluster analysis Computer Science Data processing Estimates Image analysis Image Processing and Computer Vision Information processing Mathematical Method in Pattern Recognition Networks Neural networks Oscillators Pattern Recognition Signal processing Studies Synchronism Synchronization
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Beschreibung
Zusammenfassung:	This paper presents the results of a study of synchronization processes in oscillatory neural networks of various structures based on the Kuramoto model. The estimates of synchronization processes occurring in the oscillatory networks are examined. The results of studying the practical application of oscillatory networks for solving cluster analysis problems are presented.
ISSN:	1054-6618 1555-6212
DOI:	10.1134/S1054661814030146