An evolutionary particle swarm optimization algorithm for mathematical processing of experimental spectra

D. I. Kamalova; D. Z. Galimullin; M. E. Sibgatullin; M. Kh. Salakhov

doi:10.1134/S0030400X17050101

An evolutionary particle swarm optimization algorithm for mathematical processing of experimental spectra

作者: Kamalova D.I.¹, Galimullin D.Z.², Sibgatullin M.E.¹, Salakhov M.K.¹^,3
隶属关系:
1. Kazan (Volga Region) Federal University
2. Kazan Innovation University
3. Academy of Sciences of the Republic of Tatarstan
期: 卷 122, 编号 5 (2017)
页面: 687-691
栏目: Spectroscopy of Atoms and Molecules
URL: https://ogarev-online.ru/0030-400X/article/view/165382
DOI: https://doi.org/10.1134/S0030400X17050101
ID: 165382

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详细

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.