Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/101436
Type: Artigo de periódico
Title: Application Of Some Chemometric Methods To Energy Dispersive X-ray Fluorescence Spectrometry [aplicação De Alguns Modelos Quimiométricos à Espectroscopia De Fluorescência De Raios-x De Energia Dispersiva]
Author: Schimidt F.
Bueno M.I.M.S.
Poppi R.J.
Abstract: The objective of this work was to accomplish the simultaneous determination of some chemical elements by Energy Dispersive X-ray Fluorescence (EDXRF) Spectroscopy through multivariate calibration in several sample types. The multivariate calibration models were: Back Propagation neural network, Levemberg-Marquardt neural network and Radial Basis Function neural network, fuzzy modeling and Partial Least Squares Regression. The samples were soil standards, plant standards, and mixtures of lead and sulfur salts diluted in silica. The smallest Root Mean Square errors (RMS) were obtained with Back Propagation neural networks, which solved main EDXRF problems in a better way.
Editor: 
Rights: aberto
Identifier DOI: 
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-0036856448&partnerID=40&md5=22e30664f991226fa5fc8fd2eab5c446
Date Issue: 2002
Appears in Collections:Unicamp - Artigos e Outros Documentos

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