Algorithm for Processing and Analysis of Raman Spectra using Neural Networks
- Authors: Dyachkov E.V.1, Kazaryan M.A.2, Obkhodskiy A.V.1, Obkhodskaya E.V.1, Popov A.S.1, Sachkov V.I.1
-
Affiliations:
- National Research Tomsk State University
- Lebedev Physical Institute
- Issue: Vol 45, No 11 (2018)
- Pages: 331-333
- Section: Article
- URL: https://journals.rcsi.science/1068-3356/article/view/228734
- DOI: https://doi.org/10.3103/S1068335618110015
- ID: 228734
Cite item
Abstract
The solution of the problem of processing of a large data set when analyzing Raman spectra of a gas mixture is considered. The algorithm is based on the artificial neural network. Conditions for the use of neural networks in solving practical problems of real-time analyzing spectra, including that for remote search for heavy hydrocarbons are determined. The algorithm speed is estimated using computer aids with sequential and parallel data processing.
About the authors
E. V. Dyachkov
National Research Tomsk State University
Email: kazar@sci.lebedev.ru
Russian Federation, pr. Lenina 30, Tomsk, 634034
M. A. Kazaryan
Lebedev Physical Institute
Author for correspondence.
Email: kazar@sci.lebedev.ru
Russian Federation, Leninskii pr. 53, Moscow, 119991
A. V. Obkhodskiy
National Research Tomsk State University
Email: kazar@sci.lebedev.ru
Russian Federation, pr. Lenina 30, Tomsk, 634034
E. V. Obkhodskaya
National Research Tomsk State University
Email: kazar@sci.lebedev.ru
Russian Federation, pr. Lenina 30, Tomsk, 634034
A. S. Popov
National Research Tomsk State University
Email: kazar@sci.lebedev.ru
Russian Federation, pr. Lenina 30, Tomsk, 634034
V. I. Sachkov
National Research Tomsk State University
Email: kazar@sci.lebedev.ru
Russian Federation, pr. Lenina 30, Tomsk, 634034
Supplementary files
