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|Type:||Artigo de periódico|
|Title:||Aplicação de alguns modelos quimiométricos à espectroscopia de fluorescência de raios-X de energia dispersiva|
|Title Alternative:||Application of some chemometric methods to energy dispersive X-ray fluorescence spectrometry|
Bueno, Maria Izabel M. S.
Poppi, Ronei 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:||Sociedade Brasileira de Química|
|Appears in Collections:||Artigos e Materiais de Revistas Científicas - Unicamp|
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|S0100-40422002000600012.pdf||379.12 kB||Adobe PDF||View/Open|
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