Comparison of principal components regression, partial least squares regression, multi-block partial least squares regression, and serial partial least squares regression algorithms for the analysis of Fe in iron ore using LIBS-Reference-Cited by-同舟云学术

Comparison of principal components regression, partial least squares regression, multi-block partial least squares regression, and serial partial least squares regression algorithms for the analysis of Fe in iron ore using LIBS

Published:2012 Issue:1 Volume:27 Page:92-98
ISSN:0267-9477
Container-title:J. Anal. At. Spectrom.
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Yaroshchyk P.,Death D. L.,Spencer S. J.

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2012/JA/C1JA10164A

Reference20 articles.

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2. D. A. Cremers and L. J.Radziemski, Handbook of laser-induced breakdown spectroscopy, John Wiley, Chichester. 2006

3. From LASER to LIBS, the path of technology development

4. Analysis of preservative-treated wood by multivariate analysis of laser-induced breakdown spectroscopy spectra

5. Extraction of information from laser-induced breakdown spectroscopy spectral data by multivariate analysis

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