Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/76917
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dc.creatorPetrônio Cândido de Lima e Silvapt_BR
dc.creatorCarlos Alberto Severianopt_BR
dc.creatorMarcos Antônio Alvespt_BR
dc.creatorMiri Weiss Cohenpt_BR
dc.creatorFrederico Gadelha Guimarãespt_BR
dc.date.accessioned2024-09-26T17:36:31Z-
dc.date.available2024-09-26T17:36:31Z-
dc.date.issued2019-
dc.citation.spage41pt_BR
dc.citation.epage58pt_BR
dc.identifier.doihttps://doi.org/10.1007/978-3-030-36636-0_4pt_BR
dc.identifier.isbn9783030366360pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/76917-
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELÉTRICApt_BR
dc.publisher.initialsUFMGpt_BR
dc.rightsAcesso Restritopt_BR
dc.subject.otherSistemas difusospt_BR
dc.subject.otherAprendizado do computadorpt_BR
dc.titleA new granular approach for multivariate forecastingpt_BR
dc.typeCapítulo de Livropt_BR
dc.url.externahttp://link.springer.com/10.1007/978-3-030-36636-0_4pt_BR
dc.publisher.editorSpringer, Champt_BR
Appears in Collections:Capítulo de Livro

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