Numerical and qualitative stability analysis of ring and linear neural networks with a large number of neurons

dc.contributor.author	Khokhlova T.	en
dc.contributor.author	Kipnis M.	en
dc.date.accessioned	2018-10-15T11:17:30Z
dc.date.available	2018-10-15T11:17:30Z
dc.date.issued	2012
dc.identifier.issn	13118080
dc.identifier.uri	http://dspace.susu.ru/handle/0001.74/20018
dc.description.abstract	We describe the stability domain in the parameter space of a ring neural network with an unlimited number of neurons by means of the stability cones. We found that the stability domain expands, when the ring of neurons is broken. Networks are described by matrix delay differential higher order equations. © 2012 Academic Publications, Ltd.	en]
dc.language.iso	English
dc.relation.ispartof	International Journal of Pure and Applied Mathematics	en]
dc.title	Numerical and qualitative stability analysis of ring and linear neural networks with a large number of neurons	en
dc.type	Article	en]
dc.identifier.scopus	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84860656876&partnerID=40&md5=34ac6d09454290900c2385cf72de6753

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