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Proceedings Paper

Development of artificial neural networks for spectral interference correction in optical emission spectrometry
Author(s): Z. Li; V. Karanassios
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Paper Abstract

Artificial neural networks (ANNs) are being developed for spectral interference correction in optical emission spectrometry using spectral simulations. The networks are being developed for inductively coupled plasma-atomic emission spectrometry (ICP-AES) and for optical emission measurements using microplasmas. In this paper, development of artificial neural networks for spectral interference correction will be described in some detail.

Paper Details

Date Published: 3 June 2011
PDF: 7 pages
Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 80580J (3 June 2011); doi: 10.1117/12.884341
Show Author Affiliations
Z. Li, Univ. of Waterloo (Canada)
V. Karanassios, Univ. of Waterloo (Canada)


Published in SPIE Proceedings Vol. 8058:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX
Harold Szu, Editor(s)

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