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http://acervodigital.unesp.br/handle/11449/134916
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DC Field | Value | Language |
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dc.contributor.author | Brondino, Nair Cristina Margarido | - |
dc.contributor.author | Brondino, Odney Carlos | - |
dc.date.accessioned | 2016-03-02T12:58:58Z | - |
dc.date.accessioned | 2016-10-25T21:31:28Z | - |
dc.date.available | 2016-03-02T12:58:58Z | - |
dc.date.available | 2016-10-25T21:31:28Z | - |
dc.date.issued | 2012 | - |
dc.identifier | http://www.periodicos.rc.biblioteca.unesp.br/index.php/estgeo/article/view/4401 | - |
dc.identifier.citation | Estudos Geográficos, v. 8, n. 2, p. 4-14, 2012. | - |
dc.identifier.issn | 1678-698X | - |
dc.identifier.uri | http://hdl.handle.net/11449/134916 | - |
dc.identifier.uri | http://acervodigital.unesp.br/handle/11449/134916 | - |
dc.description.abstract | The 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.abstract | Artigo submetido em: 16/02/2011 Aceito para publicação em: 03/09/2012 Publicado em: 03/09/2012 | pt |
dc.format.extent | 4-14 | - |
dc.language.iso | por | - |
dc.source | Currículo Lattes | - |
dc.subject | Geographic information system | en |
dc.subject | Artificial neural networks | en |
dc.subject | Demographic density | en |
dc.subject | Sistema de informações geográficas | pt |
dc.subject | Redes neurais artificiais | pt |
dc.subject | Densidade demográfica | pt |
dc.title | Combinando sistemas de informação geográfica e redes neurais GMDH para prever densidades demográficas | pt |
dc.title.alternative | Combining geographic information systems and gmdh neural networks to predict demographic density | en |
dc.type | outro | - |
dc.contributor.institution | Universidade Estadual Paulista (UNESP) | - |
dc.contributor.institution | Instituto Paulista de Ensino Superior Unificado (IPESU) | - |
dc.contributor.institution | Universidade Paulista (UNIP) | - |
dc.description.affiliation | Cursos de Engenharia de Produção do Instituto Paulista de Ensino Superior Unificado - IPESU e da Universidade Paulista - UNIP | - |
dc.description.affiliation | Universidade 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.affiliationUnesp | Universidade 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.accessRights | Acesso aberto | - |
dc.identifier.file | ISSN1678-698X-2012-08-02-04-14.pdf | - |
dc.relation.ispartof | Estudos Geográficos | - |
dc.identifier.lattes | 5603234988255497 | - |
Appears in Collections: | Artigos, TCCs, Teses e Dissertações da Unesp |
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