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Proceedings Paper

New opportunities in solution of inverse problems in laser spectroscopy due to application of artificial neural networks
Author(s): I. V. Gerdova; I. V. Churina; S. A. Dolenko; Tatiana A. Dolenko; Viktor V. Fadeev; I. G. Persiantsev
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Paper Abstract

Inverse problems in laser spectroscopy are reported to be successfully solved by application of artificial neural networks, a powerful data processing technique that performs better than traditional variation algorithms of solving inverse problems.

Paper Details

Date Published: 30 May 2002
PDF: 10 pages
Proc. SPIE 4749, ICONO 2001: Novel Trends in Nonlinear Laser Spectroscopy and Optical Diagnostics and Lasers in Chemistry, Biophysics, and Biomedicine, (30 May 2002); doi: 10.1117/12.468887
Show Author Affiliations
I. V. Gerdova, M.V. Lomonosov Moscow State Univ. (Russia)
I. V. Churina, M.V. Lomonosov Moscow State Univ. (Russia)
S. A. Dolenko, M.V. Lomonosov Moscow State Univ. (Russia)
Tatiana A. Dolenko, M.V. Lomonosov Moscow State Univ. (Russia)
Viktor V. Fadeev, M.V. Lomonosov Moscow State Univ. (Russia)
I. G. Persiantsev, M.V. Lomonosov Moscow State Univ. (Russia)


Published in SPIE Proceedings Vol. 4749:
ICONO 2001: Novel Trends in Nonlinear Laser Spectroscopy and Optical Diagnostics and Lasers in Chemistry, Biophysics, and Biomedicine

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