An evolutionary particle swarm optimization algorithm for mathematical processing of experimental spectra
- Авторы: Kamalova D.I.1, Galimullin D.Z.2, Sibgatullin M.E.1, Salakhov M.K.1,3
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Учреждения:
- Kazan (Volga Region) Federal University
- Kazan Innovation University
- Academy of Sciences of the Republic of Tatarstan
- Выпуск: Том 122, № 5 (2017)
- Страницы: 687-691
- Раздел: 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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Аннотация
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.
Об авторах
D. Kamalova
Kazan (Volga Region) Federal University
Автор, ответственный за переписку.
Email: dina.kamalova@kpfu.ru
Россия, Kazan, 420008
D. Galimullin
Kazan Innovation University
Email: dina.kamalova@kpfu.ru
Россия, Kazan, 420111
M. Sibgatullin
Kazan (Volga Region) Federal University
Email: dina.kamalova@kpfu.ru
Россия, Kazan, 420008
M. Salakhov
Kazan (Volga Region) Federal University; Academy of Sciences of the Republic of Tatarstan
Email: dina.kamalova@kpfu.ru
Россия, Kazan, 420008; Kazan, 420111
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