Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/23478
Type: Artigo de periódico
Title: Aplicação de algoritmos genéticos na seleção de variáveis em espectroscopia no infravermelho médio: determinação simultânea de glicose, maltose e frutose
Title Alternative: Aplication of genetic algorithms in the variable selection in mid infrared spectroscopy: simultaneous determination of glucose, maltose and fructose
Author: Costa Filho, Paulo A. da
Poppi, Ronei J.
Abstract: Genetic algorithm was used for variable selection in simultaneous determination of mixtures of glucose, maltose and fructose by mid infrared spectroscopy. Different models, using partial least squares (PLS) and multiple linear regression (MLR) with and without data pre-processing, were used. Based on the results obtained, it was verified that a simpler model (multiple linear regression with variable selection by genetic algorithm) produces results comparable to more complex methods (partial least squares). The relative errors obtained for the best model was around 3% for the sugar determination, which is acceptable for this kind of determination.
Subject: genetic algorithm
sugars determination
infrared spectroscopy
Editor: Sociedade Brasileira de Química
Rights: aberto
Identifier DOI: 10.1590/S0100-40422002000100009
Address: http://dx.doi.org/10.1590/S0100-40422002000100009
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422002000100009
Date Issue: 1-Feb-2002
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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