Pattern recognition issues on anisotropic smoothed particle hydrodynamics

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dc.contributor.authorMarinho, Eraldo Pereira
dc.contributor.authorVagenas, E. C.
dc.contributor.authorVlachos, D. S.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-12-03T13:08:47Z
dc.date.available2014-12-03T13:08:47Z
dc.date.issued2014-01-01
dc.description.abstractThis is a preliminary theoretical discussion on the computational requirements of the state of the art smoothed particle hydrodynamics (SPH) from the optics of pattern recognition and artificial intelligence. It is pointed out in the present paper that, when including anisotropy detection to improve resolution on shock layer, SPH is a very peculiar case of unsupervised machine learning. On the other hand, the free particle nature of SPH opens an opportunity for artificial intelligence to study particles as agents acting in a collaborative framework in which the timed outcomes of a fluid simulation forms a large knowledge base, which might be very attractive in computational astrophysics phenomenological problems like self-propagating star formation.en
dc.description.affiliationUniv Estadual Paulista UNESP IGCE, Dept Comp, Rio Claro, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista UNESP IGCE, Dept Comp, Rio Claro, SP, Brazil
dc.format.extent4
dc.identifierhttp://dx.doi.org/10.1088/1742-6596/490/1/012063
dc.identifier.citation2nd International Conference On Mathematical Modeling In Physical Sciences 2013 (ic-msquare 2013). Bristol: Iop Publishing Ltd, v. 490, 4 p., 2014.
dc.identifier.doi10.1088/1742-6596/490/1/012063
dc.identifier.fileWOS000335909300063.pdf
dc.identifier.issn1742-6588
dc.identifier.lattes4276078473559775
dc.identifier.orcid0000-0002-7413-0161
dc.identifier.urihttp://hdl.handle.net/11449/111598
dc.identifier.wosWOS:000335909300063
dc.language.isoeng
dc.publisherIop Publishing Ltd
dc.relation.ispartof2nd International Conference On Mathematical Modeling In Physical Sciences 2013 (ic-msquare 2013)
dc.relation.ispartofsjr0,241
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.titlePattern recognition issues on anisotropic smoothed particle hydrodynamicsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://iopscience.iop.org/page/copyright
dcterms.rightsHolderIop Publishing Ltd
unesp.author.lattes4276078473559775[1]
unesp.author.orcid0000-0002-7413-0161[1]
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Geociências e Ciências Exatas, Rio Claropt

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Artigos - Estatistica, Matemática Aplicada e Computação - IGCE