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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/134916
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dc.contributor.authorBrondino, Nair Cristina Margarido-
dc.contributor.authorBrondino, Odney Carlos-
dc.date.accessioned2016-03-02T12:58:58Z-
dc.date.accessioned2016-10-25T21:31:28Z-
dc.date.available2016-03-02T12:58:58Z-
dc.date.available2016-10-25T21:31:28Z-
dc.date.issued2012-
dc.identifierhttp://www.periodicos.rc.biblioteca.unesp.br/index.php/estgeo/article/view/4401-
dc.identifier.citationEstudos Geográficos, v. 8, n. 2, p. 4-14, 2012.-
dc.identifier.issn1678-698X-
dc.identifier.urihttp://hdl.handle.net/11449/134916-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/134916-
dc.description.abstractThe aim of this work is to advance a new approach for estimating demographic density, through combining a Geographic Information System with GMDH Neural Networks. The model that is suggested parts the analyzed space into a rectangular grid formed by multiple cells measuring 0.01 km2 each. The forecasts are elaborated based on the demographic density in each cell and in its neighboring cells at a given time. Despite the limited availability of data during the modeling phase, the utilization of this method for studying a Brazilian medium-sized city presented promising results.en
dc.description.abstractArtigo submetido em: 16/02/2011 Aceito para publicação em: 03/09/2012 Publicado em: 03/09/2012pt
dc.format.extent4-14-
dc.language.isopor-
dc.sourceCurrículo Lattes-
dc.subjectGeographic information systemen
dc.subjectArtificial neural networksen
dc.subjectDemographic densityen
dc.subjectSistema de informações geográficaspt
dc.subjectRedes neurais artificiaispt
dc.subjectDensidade demográficapt
dc.titleCombinando sistemas de informação geográfica e redes neurais GMDH para prever densidades demográficaspt
dc.title.alternativeCombining geographic information systems and gmdh neural networks to predict demographic densityen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionInstituto Paulista de Ensino Superior Unificado (IPESU)-
dc.contributor.institutionUniversidade Paulista (UNIP)-
dc.description.affiliationCursos de Engenharia de Produção do Instituto Paulista de Ensino Superior Unificado - IPESU e da Universidade Paulista - UNIP-
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Matemática, Faculdade de Ciências de Bauru, Bauru, Av. Eng. Luiz E. Carrijo Coube S/N, Vargem Limpa, CEP 17033-360, SP, Brasil-
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Matemática, Faculdade de Ciências de Bauru, Bauru, Av. Eng. Luiz E. Carrijo Coube S/N, Vargem Limpa, CEP 17033-360, SP, Brasil-
dc.rights.accessRightsAcesso aberto-
dc.identifier.fileISSN1678-698X-2012-08-02-04-14.pdf-
dc.relation.ispartofEstudos Geográficos-
dc.identifier.lattes5603234988255497-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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