Stability criteria for cellular neural networks

dc.contributor.author	Danciu, Daniela
dc.contributor.author	Răsvan, Vladimir
dc.date.accessioned	2015-12-10T07:24:21Z
dc.date.available	2015-12-10T07:24:21Z
dc.date.issued	2001
dc.identifier.issn	1221-454X
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3714
dc.description	The Annals of 'Dunarea de Jos" University of Galati Fascicle III, 2000	en_US
dc.description.abstract	A cellular neural network is an artificial neural network which features a multidimensional array of neurons and local interconnections among the cells. Neural networks are systems with several equilibrium states. It is exactly this fact (existence of several equilibria) that grants to the neural networks their computational and problem solving capabilities. The paper is concerned with dynamical properties of the model of a cellular neural network as a dynamical system with several equilibria displaying interaction delays. There are given sufficient conditions for stability of the cellular neural networks.	en_US
dc.language.iso	en	en_US
dc.publisher	"Dunarea de Jos" University of Galati	en_US
dc.subject	Cellular neural networks	en_US
dc.subject	global stability	en_US
dc.title	Stability criteria for cellular neural networks	en_US
dc.type	Article	en_US