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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/43009
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dc.creatorAntonio José Zanunciopt_BR
dc.creatorAmélia Guimarães Carvalhopt_BR
dc.creatorCarlos Alberto Araújo Júniorpt_BR
dc.creatorMaíra Reis de Assispt_BR
dc.creatorLiniker Fernandes da Silvapt_BR
dc.date.accessioned2022-07-07T13:08:53Z-
dc.date.available2022-07-07T13:08:53Z-
dc.date.issued2019-
dc.citation.volume26pt_BR
dc.citation.issue2pt_BR
dc.citation.spage1pt_BR
dc.citation.epage5pt_BR
dc.identifier.doi10.1590/2179-8087.050417pt_BR
dc.identifier.issn2179-8087pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/43009-
dc.description.resumoThe heterogeneous behavior of wood during drying is a process difficult to control. The objective of this study was to evaluate the accuracy of the neuro-fuzzy hybrid system for monitoring wood moisture during drying. Eucalyptus urophylla x Eucalyptus grandis samples (2 x 2 x 4 cm) were saturated and dried in climatic chamber for 15 days. Basic density was determined by the dry mass/saturated volume ratio. Two neuro-fuzzy systems were developed to monitor wood moisture, the first based on the genetic material and drying period and the second based on basic density and drying period. The drying rate of wood samples was higher at the initial period and all reached equilibrium moisture content after 15 days. Density showed relationship with wood moisture during the study period. Both systems have the potential to monitor moisture, however, neuro-fuzzy system based on basic density and drying period showed better results and is therefore more suitable.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Geraispt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofFlorampt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectArtificial Intelligencept_BR
dc.subject.otherInteligência artificialpt_BR
dc.subject.otherMadeira -- Efeito da umidadept_BR
dc.subject.otherMadeira -- Densidadept_BR
dc.subject.otherEucaliptopt_BR
dc.titleNeuro-fuzzy hybrid system for monitoring wood moisture content during dryingpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttp://www.floram.org/article/doi/10.1590/2179-8087.050417pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-0909-8633pt_BR
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