You are in the accessibility menu

Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/67300
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFrancisco, Gerson-
dc.contributor.authorMuruganandam, Paulsamy-
dc.date.accessioned2014-05-27T11:20:40Z-
dc.date.accessioned2016-10-25T18:18:39Z-
dc.date.available2014-05-27T11:20:40Z-
dc.date.available2016-10-25T18:18:39Z-
dc.date.issued2003-06-01-
dc.identifierhttp://dx.doi.org/10.1103/PhysRevE.67.066204-
dc.identifier.citationPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics, v. 67, n. 6 2, 2003.-
dc.identifier.issn1063-651X-
dc.identifier.urihttp://hdl.handle.net/11449/67300-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/67300-
dc.description.abstractPredictability is related to the uncertainty in the outcome of future events during the evolution of the state of a system. The cluster weighted modeling (CWM) is interpreted as a tool to detect such an uncertainty and used it in spatially distributed systems. As such, the simple prediction algorithm in conjunction with the CWM forms a powerful set of methods to relate predictability and dimension.en
dc.language.isoeng-
dc.sourceScopus-
dc.subjectAlgorithms-
dc.subjectBoundary conditions-
dc.subjectEigenvalues and eigenfunctions-
dc.subjectForecasting-
dc.subjectMatrix algebra-
dc.subjectProbability-
dc.subjectProbability distributions-
dc.subjectRandom processes-
dc.subjectStatistical methods-
dc.subjectVectors-
dc.subjectBayesian modeling-
dc.subjectDynamical systems theory-
dc.subjectFinite time prediction-
dc.subjectLocal dimension-
dc.subjectSpatiotemporal chaotic system-
dc.subjectChaos theory-
dc.titleLocal dimension and finite time prediction in spatiotemporal chaotic systemsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionBharathidasan University-
dc.description.affiliationInstituto de Fisica Teorica Universidade Estadual Paulista, 01405-900 Sao Paulo, SP-
dc.description.affiliationCenter for Nonlinear Dynamics Department of Physics Bharathidasan University, Tiruchirapalli 620024, Tamil Nadu-
dc.description.affiliationUnespInstituto de Fisica Teorica Universidade Estadual Paulista, 01405-900 Sao Paulo, SP-
dc.identifier.doi10.1103/PhysRevE.67.066204-
dc.identifier.wosWOS:000184085000038-
dc.rights.accessRightsAcesso aberto-
dc.identifier.file2-s2.0-42749108043.pdf-
dc.relation.ispartofPhysical Review E: Statistical, Nonlinear, and Soft Matter Physics-
dc.identifier.scopus2-s2.0-42749108043-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

There are no files associated with this item.
 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.