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

dc.contributor.author	Kamalova D.
dc.contributor.author	Galimullin D.
dc.contributor.author	Sibgatullin M.
dc.contributor.author	Salakhov M.
dc.date.accessioned	2018-09-19T22:04:01Z
dc.date.available	2018-09-19T22:04:01Z
dc.date.issued	2017
dc.identifier.issn	0030-400X
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/144652
dc.description.abstract	© 2017, Pleiades Publishing, Ltd.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.
dc.relation.ispartofseries	Optics and Spectroscopy (English translation of Optika i Spektroskopiya)
dc.title	An evolutionary particle swarm optimization algorithm for mathematical processing of experimental spectra
dc.type	Article
dc.relation.ispartofseries-issue	5
dc.relation.ispartofseries-volume	122
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	687
dc.source.id	SCOPUS0030400X-2017-122-5-SID85019654733

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.