Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva
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, Leve...
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Format: | Article |
Language: | English |
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Sociedade Brasileira de Química
2002-01-01
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Series: | Química Nova |
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422002000600012 |
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author | Schimidt Fernando Bueno Maria Izabel M. S. Poppi Ronei J. |
author_facet | Schimidt Fernando Bueno Maria Izabel M. S. Poppi Ronei J. |
author_sort | Schimidt Fernando |
collection | DOAJ |
description | 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. |
first_indexed | 2024-12-21T14:39:15Z |
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id | doaj.art-103d588ef71a43e2953953b7c92d5d5a |
institution | Directory Open Access Journal |
issn | 0100-4042 1678-7064 |
language | English |
last_indexed | 2024-12-21T14:39:15Z |
publishDate | 2002-01-01 |
publisher | Sociedade Brasileira de Química |
record_format | Article |
series | Química Nova |
spelling | doaj.art-103d588ef71a43e2953953b7c92d5d5a2022-12-21T19:00:14ZengSociedade Brasileira de QuímicaQuímica Nova0100-40421678-70642002-01-01256a949956Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersivaSchimidt FernandoBueno Maria Izabel M. S.Poppi Ronei J.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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422002000600012chemometricsmultivariate calibrationX-ray fluorescence |
spellingShingle | Schimidt Fernando Bueno Maria Izabel M. S. Poppi Ronei J. Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva Química Nova chemometrics multivariate calibration X-ray fluorescence |
title | Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva |
title_full | Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva |
title_fullStr | Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva |
title_full_unstemmed | Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva |
title_short | Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva |
title_sort | aplicacao de alguns modelos quimiometricos a espectroscopia de fluorescencia de raios x de energia dispersiva |
topic | chemometrics multivariate calibration X-ray fluorescence |
url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422002000600012 |
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