Time evolution of the extremely diluted Blume-Emery-Griffiths neulal network

dc.contributor.author	Bolle, Desire	pt_BR
dc.contributor.author	Dominguez, David Renato Carreta	pt_BR
dc.contributor.author	Erichsen Junior, Rubem	pt_BR
dc.contributor.author	Korutcheva, Elka	pt_BR
dc.contributor.author	Theumann, Walter Karl	pt_BR
dc.date.accessioned	2014-08-19T02:10:51Z	pt_BR
dc.date.issued	2003	pt_BR
dc.identifier.issn	1539-3755	pt_BR
dc.identifier.uri	http://hdl.handle.net/10183/101418	pt_BR
dc.description.abstract	A study of the time evolution and a stability analysis of the phases in the extremely diluted Blume-Emery-Griffiths neural network model are shown to yield new phase diagrams in which fluctuation retrieval may drive pattern retrieval. It is shown that saddle-point solutions associated with fluctuation overlaps slow down the flow of the network states towards the retrieval fixed points. A comparison of the performance with other three-state networks is also presented.	en
dc.format.mimetype	application/pdf
dc.language.iso	eng	pt_BR
dc.relation.ispartof	Physical review. E, Statistical, nonlinear, and soft matter physics. Vol. 68, no. 6 (Dec. 2003), 062901, 4 p.	pt_BR
dc.rights	Open Access	en
dc.subject	Flutuações	pt_BR
dc.subject	Diagramas de fase	pt_BR
dc.subject	Estabilidade	pt_BR
dc.title	Time evolution of the extremely diluted Blume-Emery-Griffiths neulal network	pt_BR
dc.type	Artigo de periódico	pt_BR
dc.identifier.nrb	000397223	pt_BR
dc.type.origin	Estrangeiro	pt_BR

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