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


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Resumo

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.

Sobre autores

D. Kamalova

Kazan (Volga Region) Federal University

Autor responsável pela correspondência
Email: dina.kamalova@kpfu.ru
Rússia, Kazan, 420008

D. Galimullin

Kazan Innovation University

Email: dina.kamalova@kpfu.ru
Rússia, Kazan, 420111

M. Sibgatullin

Kazan (Volga Region) Federal University

Email: dina.kamalova@kpfu.ru
Rússia, Kazan, 420008

M. Salakhov

Kazan (Volga Region) Federal University; Academy of Sciences of the Republic of Tatarstan

Email: dina.kamalova@kpfu.ru
Rússia, Kazan, 420008; Kazan, 420111

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Declaração de direitos autorais © Pleiades Publishing, Ltd., 2017