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Proceedings Paper

Neural network technologies in Raman spectroscopy of water solutions of inorganic salts
Author(s): Tatiana A. Dolenko; Sergey A. Burikov; Alexander V. Sugonjaev
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Paper Abstract

This paper is devoted to successful application of artificial neural networks (ANN) for more precise analysis of Raman spectra, and for the solution of the inverse problems of laser Raman spectroscopy. The characteristic peculiarities of the valence band shape of Raman scattering by water molecules in the solutions of KBr, KCl, KI, NaCl, NaI electrolytes have been revealed. These peculiarities allow to perform non-contact recognition of salts type and determination of salt concentration in water solutions by means of artificial neural networks. We suppose that the classification algorithms using the artificial neural networks, applied in this study, may be also useful for other problems in Raman spectroscopy and in fluorimetry, and in application of these methods in ecology.

Paper Details

Date Published: 3 June 2005
PDF: 8 pages
Proc. SPIE 5826, Opto-Ireland 2005: Optical Sensing and Spectroscopy, (3 June 2005); doi: 10.1117/12.604953
Show Author Affiliations
Tatiana A. Dolenko, M.V. Lomonosov Moscow State Univ. (Russia)
Sergey A. Burikov, M.V. Lomonosov Moscow State Univ. (Russia)
Alexander V. Sugonjaev, M.V. Lomonosov Moscow State Univ. (Russia)


Published in SPIE Proceedings Vol. 5826:
Opto-Ireland 2005: Optical Sensing and Spectroscopy
Gerard D. O'Sullivan; Brian D. MacCraith; Hugh James Byrne; Enda McGlynn; Alan G. Ryder, Editor(s)

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