3 September 2003 Neural network data analysis for intracavity laser spectroscopy
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Proceedings Volume 5135, Optical Information, Data Processing and Storage, and Laser Communication Technologies; (2003); doi: 10.1117/12.518070
Event: International Conference on Lasers, Applications, and Technologies 2002, 2002, Moscow, Russian Federation
Abstract
The method of data analysis in intracavity laser spectroscopy is considered. The artificial neural network was used as an analyzing tool for the determination of elements concentration in trace amounts samples using absorption spectra. The special neural network training algorithm based on simulation of experimental spectra was developed to solve the problem of non-sufficient experimental data set. The application of this method allows achieve the better sensitivity than conventional analytical methods and proved itself more robust. The proposed method was tested on spectra of Cs water solution.
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Petr V. Nazarov, Vladimir V. Apanasovich, Katsiaryana U. Lutkovskaya, Vladimir M. Lutkovski, Pulat Y. Misakov, "Neural network data analysis for intracavity laser spectroscopy", Proc. SPIE 5135, Optical Information, Data Processing and Storage, and Laser Communication Technologies, (3 September 2003); doi: 10.1117/12.518070; https://doi.org/10.1117/12.518070
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KEYWORDS
Neural networks

Absorption

Data processing

Laser spectroscopy

Cesium

Dye lasers

Error analysis

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