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URI permanente para esta coleçãohttps://locus.ufv.br/handle/123456789/11800
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Item 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(Química Nova, 2011) Nunes, Cleiton Antônio; Lima, Claudio Ferreira; Barbosa, Luiz Cláudio de Almeida; Colodette, Jorge Luiz; Fidêncio, Paulo HenriqueMultivariate 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.