Use este identificador para citar ou linkar para este item: http://hdl.handle.net/1843/43009
Tipo: Artigo de Periódico
Título: Neuro-fuzzy hybrid system for monitoring wood moisture content during drying
Autor(es): Antonio José Zanuncio
Amélia Guimarães Carvalho
Carlos Alberto Araújo Júnior
Maíra Reis de Assis
Liniker Fernandes da Silva
Resumo: The 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.
Assunto: Inteligência artificial
Madeira -- Efeito da umidade
Madeira -- Densidade
Eucalipto
Idioma: eng
País: Brasil
Editor: Universidade Federal de Minas Gerais
Sigla da Instituição: UFMG
Departamento: ICA - INSTITUTO DE CIÊNCIAS AGRÁRIAS
Tipo de Acesso: Acesso Aberto
Identificador DOI: 10.1590/2179-8087.050417
URI: http://hdl.handle.net/1843/43009
Data do documento: 2019
metadata.dc.url.externa: http://www.floram.org/article/doi/10.1590/2179-8087.050417
metadata.dc.relation.ispartof: Floram
Aparece nas coleções:Artigo de Periódico

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