Comparison of partial least squares regression and multi-layer neural networks for quantification of nonlinear systems and application to gas phase Fourier transform infrared spectra-Reference-Cited by-同舟云学术

Comparison of partial least squares regression and multi-layer neural networks for quantification of nonlinear systems and application to gas phase Fourier transform infrared spectra

Published:2003-08 Issue:2 Volume:489 Page:125-136
ISSN:0003-2670
Container-title:Analytica Chimica Acta
language:en
Short-container-title:Analytica Chimica Acta

Author:

Yang Husheng,Griffiths Peter R.,Tate J.D.

Publisher

Elsevier BV

Subject

Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference17 articles.

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5. Robust complex non-linear regression method for the estimation of equivalent circuit parameters of the thickness-shear-mode acoustic wave sensor

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