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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
05/09/2018 |
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Data da última atualização: |
05/09/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Artificial neural networks to estimate the physical-mechanical properties of amazon second cutting cycle wood. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Maderas. Ciencia y tecnología, v. 20, n. 3, p. 343-352, 2018. |
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DOI: |
10.4067/S0718-221X2018005003501 |
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Idioma: |
Inglês |
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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. |
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Palavras-Chave: |
Inteligência artificial; Modelagem. |
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Thesagro: |
Madeira; Tecnologia. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/182447/1/0718-221X-maderas-03501.pdf
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Marc: |
LEADER 01851naa a2200253 a 4500
001 2095097
005 2018-09-05
008 2018 bl uuuu u00u1 u #d
024 7 $a10.4067/S0718-221X2018005003501$2DOI
100 1 $aREIS, P. C. M. dos R.
245 $aArtificial neural networks to estimate the physical-mechanical properties of amazon second cutting cycle wood.$h[electronic resource]
260 $c2018
520 $aTimber 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.
650 $aMadeira
650 $aTecnologia
653 $aInteligência artificial
653 $aModelagem
700 1 $aSOUZA, A. L. de
700 1 $aREIS, L. P.
700 1 $aCARVALHO, A. M. M. L.
700 1 $aFREITAS, L. J. M. de
700 1 $aRÊGO, L. J. S.
700 1 $aLEITE, H. G.
773 $tMaderas. Ciencia y tecnología$gv. 20, n. 3, p. 343-352, 2018.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Origem |
Tipo/Formato |
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Cutter |
Registro |
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Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Ocidental. |
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Data corrente: |
31/03/1998 |
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Data da última atualização: |
28/12/2018 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
KRUSE, W.; SILVA JUNIOR, J. P. da; LIEBEREI, R. |
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Afiliação: |
Universidade de Hamburg; JOSE PEREIRA DA SILVA JUNIOR, CPAA. |
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Título: |
Occurrence and characterization of different bacterial isolates from the rhizosphere of Bactris gasipaes H.B.K. and Theobroma grandiflorum (Willd. ex Spreng.) Schum. |
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Ano de publicação: |
1998 |
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Fonte/Imprenta: |
In: SHIFT WORKSHOP, 3., 1998, Manaus. Program, abstracts of presentations and posters... Hamburg: GKSS, 1998. |
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Páginas: |
p. C14. |
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Idioma: |
Inglês |
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Conteúdo: |
In this study spores were collected from the rhizosphere (rhizoplane and inner rhizosphere) of cacao and peach palm in spring 1997 on the SHIFT area near Manaus, Brazil. |
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Palavras-Chave: |
Agrofloresta; Amazonas; Brasil; Esporos; Root; Tropical rain forest. |
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Thesagro: |
Bactris Gasipaes; Cultivo Multiplo; Cupuaçu; Floresta Tropical Úmida; Micorriza; Pupunha; Raiz; Theobroma Grandiflorum. |
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Thesaurus NAL: |
agroforestry; mycorrhizae; spores. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/124257/1/C14.pdf
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Marc: |
LEADER 01214nam a2200349 a 4500
001 1667712
005 2018-12-28
008 1998 bl uuuu u00u1 u #d
100 1 $aKRUSE, W.
245 $aOccurrence and characterization of different bacterial isolates from the rhizosphere of Bactris gasipaes H.B.K. and Theobroma grandiflorum (Willd. ex Spreng.) Schum.
260 $aIn: SHIFT WORKSHOP, 3., 1998, Manaus. Program, abstracts of presentations and posters... Hamburg: GKSS$c1998
300 $ap. C14.
520 $aIn this study spores were collected from the rhizosphere (rhizoplane and inner rhizosphere) of cacao and peach palm in spring 1997 on the SHIFT area near Manaus, Brazil.
650 $aagroforestry
650 $amycorrhizae
650 $aspores
650 $aBactris Gasipaes
650 $aCultivo Multiplo
650 $aCupuaçu
650 $aFloresta Tropical Úmida
650 $aMicorriza
650 $aPupunha
650 $aRaiz
650 $aTheobroma Grandiflorum
653 $aAgrofloresta
653 $aAmazonas
653 $aBrasil
653 $aEsporos
653 $aRoot
653 $aTropical rain forest
700 1 $aSILVA JUNIOR, J. P. da
700 1 $aLIEBEREI, R.
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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ID |
Origem |
Tipo/Formato |
Classificação |
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Registro |
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