Show simple item record

dc.contributor.authorCiszak, Marzena
dc.contributor.authorGutiérrez Llorente, José Manuel
dc.contributor.authorCofiño González, Antonio Santiago 
dc.contributor.authorMirasso, Claudio
dc.contributor.authorToral, Raúl
dc.contributor.authorPesquera González, Luis 
dc.contributor.authorOrtín González, Silvia
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2013-04-09T12:34:35Z
dc.date.available2013-04-09T12:34:35Z
dc.date.issued2005-10
dc.identifier.issn1550-2376
dc.identifier.issn1539-3755
dc.identifier.urihttp://hdl.handle.net/10902/1888
dc.description.abstractPredictability of chaotic systems is limited, in addition to the precision of the knowledge of the initial conditions, by the error of the models used to extract the nonlinear dynamics from the time series. In this paper, we analyze the predictions obtained from the anticipated synchronization scheme using a chain of slave neural network approximate replicas of the master system. We compare the maximum prediction horizons obtained with those attainable using standard prediction techniques.es_ES
dc.format.extent8 p.es_ES
dc.language.isoenges_ES
dc.publisherAmerican Physical Societyes_ES
dc.rights© 2005 The American Physical Society*
dc.sourcePhysical Review. E, Statistical, Non Linear and Soft Matter Physics, 2005, 72(4), 046218es_ES
dc.titleApproach to predictability via anticipated synchronizationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttp://dx.doi.org/10.1103/PhysRevE.72.046218
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1103/PhysRevE.72.046218
dc.type.versionpublishedVersiones_ES


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record