Development of artificial neural networks for spectral interference correction in optical emission spectrometry

Z. Li; V. Karanassios

doi:10.1117/12.884341

3 June 2011 Development of artificial neural networks for spectral interference correction in optical emission spectrometry

Z. Li, V. Karanassios

Author Affiliations +

Proceedings Volume 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX; 80580J (2011) https://doi.org/10.1117/12.884341
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

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.

Citation Download Citation

Z. Li and V. Karanassios "Development of artificial neural networks for spectral interference correction in optical emission spectrometry", Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 80580J (3 June 2011); https://doi.org/10.1117/12.884341

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