ARTIFICIAL NEURAL NETWORKS AS A NEW TOOL FOR ASSESSING AND MONITORING WOOD MOISTURE CONTENT

Drying of wood is necessary for its use and moisture control is important during this process. The aim of this study was to use artificial neural networks to evaluate and monitor the wood moisture content during drying. Wood samples of 2 × 2 × 4 cm were taken at 1.3 m above the ground, outside of ra...

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Bibliografiska uppgifter
I publikationen:Revista Árvore
Huvudupphovsmän: Antônio José Vinha Zanuncio, Amélia Guimarães Carvalho, Liniker Fernandes da Silva, Angélica de Cássia Oliveira Carneiro, Jorge Luiz Colodette
Materialtyp: Artigo
Språk:Inglês
Publicerad: Universidade Federal de Viçosa 2016
Ämnen:
Agrociencias
Drying
Modeling
Eucalyptus urophylla × Eucalyptus grandis
Länkar:https://www.redalyc.org/articulo.oa?id=48846415018
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