Data/hora: 18/06/2024 03:49:32

Biblioteca(s): 	Embrapa Amazônia Oriental.	
Data corrente: 	05/09/2018	
Data da última atualização: 	05/09/2018	
Autoria: 	REIS, P. C. M. dos R.; SOUZA, A. L. de; REIS, L. P.; CARVALHO, A. M. M. L.; FREITAS, L. J. M. de; RÊGO, L. J. S.; LEITE, H. G.	
Afiliação: 	Pamella Carolline Marques dos Reis Reis, UFV; Agostinho Lopes de Souza, UFV; Leonardo Pequeno Reis, Instituto de Desenvolvimento Sustentável Mamirauá; Ana Márcia Macedo Ladeira Carvalho, UFV; LUCAS JOSE MAZZEI DE FREITAS, CPATU; Lyvia Julienne Sousa Rêgo, UFV; Helio Garcia Leite, UFV.	
Título: 	Artificial neural networks to estimate the physical-mechanical properties of amazon second cutting cycle wood.	
Ano de publicação: 	2018	
Fonte/Imprenta: 	Maderas. Ciencia y tecnología, v. 20, n. 3, p. 343-352, 2018.	
DOI: 	10.4067/S0718-221X2018005003501	
Idioma: 	Inglês	
Conteúdo: 	Timber from the second cutting cycle may make up the majority of future crop volumetric. However, there are few studies of the physical and mechanical properties of this timber, which are important to support the consolidation of new species. This study aimed to use Artificial Neural Networks to estimate the physical and mechanical properties of wood from the Amazon, based on basic density. The properties were: shrinkage (tangential, radial and volumetric), static bending, parallel and perpendicular to the fiber compression, parallel and transverse to the fibers, Janka hardness, traction, splitting and shear. The estimate followed the tendency of the data observed for the tangential, radial and volumetric shrinkage. The network estimated the mechanical properties with significant accuracy. Distribution of errors, static bending, parallel compression and perpendicular to the fiber compression also showed significant accuracy. Artificial Neural Networks can be used to estimate the physical and mechanical properties of wood from Amazon species.	
Palavras-Chave: 	Inteligência artificial; Modelagem.	
Thesagro: 	Madeira; Tecnologia.	
Categoria do assunto: 	K Ciência Florestal e Produtos de Origem Vegetal	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/182447/1/0718-221X-maderas-03501.pdf	
Registro original: 	Embrapa Amazônia Oriental (CPATU)	
Exemplares: 	CPATU - (55397-1) - UPC - AP - DD -  -  -  - DIS