Email this article An evolutionary particle swarm optimization algorithm for mathematical processing of experimental spectra
- Authors: Kamalova D.I.1, Galimullin D.Z.2, Sibgatullin M.E.1, Salakhov M.K.1,3
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Affiliations:
- Kazan (Volga Region) Federal University
- Kazan Innovation University
- Academy of Sciences of the Republic of Tatarstan
- Issue: Vol 122, No 5 (2017)
- Pages: 687-691
- Section: Spectroscopy of Atoms and Molecules
- URL: https://bakhtiniada.ru/0030-400X/article/view/165382
- DOI: https://doi.org/10.1134/S0030400X17050101
- ID: 165382
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Abstract
A particle swarm optimization algorithm is applied for mathematical treatment of Fourier-transform IR spectra of branched copolymers of methyl methacrylate. The efficiency of reconstruction of the spectra using the particle swarm optimization algorithm as compared with the least squares method is illustrated by the example of decomposition of a six-component experimental spectrum.
About the authors
D. I. Kamalova
Kazan (Volga Region) Federal University
Author for correspondence.
Email: dina.kamalova@kpfu.ru
Russian Federation, Kazan, 420008
D. Z. Galimullin
Kazan Innovation University
Email: dina.kamalova@kpfu.ru
Russian Federation, Kazan, 420111
M. E. Sibgatullin
Kazan (Volga Region) Federal University
Email: dina.kamalova@kpfu.ru
Russian Federation, Kazan, 420008
M. Kh. Salakhov
Kazan (Volga Region) Federal University; Academy of Sciences of the Republic of Tatarstan
Email: dina.kamalova@kpfu.ru
Russian Federation, Kazan, 420008; Kazan, 420111
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