Paper
30 May 2002 New opportunities in solution of inverse problems in laser spectroscopy due to application of artificial neural networks
I. V. Gerdova, I. V. Churina, S. A. Dolenko, Tatiana A. Dolenko, Viktor V. Fadeev, I. G. Persiantsev
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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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. V. Gerdova, I. V. Churina, S. A. Dolenko, Tatiana A. Dolenko, Viktor V. Fadeev, and I. G. Persiantsev "New opportunities in solution of inverse problems in laser spectroscopy due to application of artificial neural networks", Proc. SPIE 4749, ICONO 2001: Novel Trends in Nonlinear Laser Spectroscopy and Optical Diagnostics and Lasers in Chemistry, Biophysics, and Biomedicine, (30 May 2002); https://doi.org/10.1117/12.468887
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Cited by 7 scholarly publications.
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KEYWORDS
Inverse problems

Raman spectroscopy

Data modeling

Luminescence

Model-based design

Neural networks

Laser spectroscopy

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