Determinação de constituintes químicos em madeira de eucalipto por Pi-CG/EM e calibração multivariada: comparação entre redes neurais artificiais e máquinas de vetor suporte

Autor:	Cleiton Antônio Nunes, Claudio Ferreira Lima, Luiz Cláudio de Almeida Barbosa, Jorge Luiz Colodette, Paulo Henrique Fidêncio
Jazyk:	English<br />Spanish; Castilian<br />Portuguese
Rok vydání:	2011
Předmět:	analytical pyrolysis artificial neural network least square-support vector machine Chemistry QD1-999
Zdroj:	Química Nova, Vol 34, Iss 2, Pp 279-283 (2011)
Druh dokumentu:	article
ISSN:	1678-7064 0100-4042
DOI:	10.1590/S0100-40422011000200020
Popis:	Multivariate models were developed using Artificial Neural Network (ANN) and Least Square - Support Vector Machines (LS-SVM) for estimating lignin siringyl/guaiacyl ratio and the contents of cellulose, hemicelluloses and lignin in eucalyptus wood by pyrolysis associated to gaseous chromatography and mass spectrometry (Py-GC/MS). The results obtained by two calibration methods were in agreement with those of reference methods. However a comparison indicated that the LS-SVM model presented better predictive capacity for the cellulose and lignin contents, while the ANN model presented was more adequate for estimating the hemicelluloses content and lignin siringyl/guaiacyl ratio.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/abcabd0449324365a37d9e83dc6c29f0 Zobrazit plný text záznamu View record in DOAJ