Neuro-fuzzy hybrid system for monitoring wood moisture content during drying

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dc.creatorAntonio José Zanuncio
dc.creatorAmélia Guimarães Carvalho
dc.creatorCarlos Alberto Araújo Júnior
dc.creatorMaíra Reis de Assis
dc.creatorLiniker Fernandes da Silva
dc.date.accessioned2022-07-07T13:08:53Z
dc.date.accessioned2025-09-08T23:17:36Z
dc.date.available2022-07-07T13:08:53Z
dc.date.issued2019
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Gerais
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
dc.identifier.doi10.1590/2179-8087.050417
dc.identifier.issn2179-8087
dc.identifier.urihttps://hdl.handle.net/1843/43009
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofFloram
dc.rightsAcesso Aberto
dc.subjectInteligência artificial
dc.subjectMadeira -- Efeito da umidade
dc.subjectMadeira -- Densidade
dc.subjectEucalipto
dc.subject.otherArtificial Intelligence
dc.titleNeuro-fuzzy hybrid system for monitoring wood moisture content during drying
dc.typeArtigo de periódico
local.citation.epage5
local.citation.issue2
local.citation.spage1
local.citation.volume26
local.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.
local.identifier.orcidhttps://orcid.org/0000-0003-0909-8633
local.publisher.countryBrasil
local.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
local.publisher.initialsUFMG
local.url.externahttp://www.floram.org/article/doi/10.1590/2179-8087.050417

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