Particle swarm optimization in the problem of decomposing two-component spectral profiles

dc.contributor.author	Galimullin D.
dc.contributor.author	Sibgatullin M.
dc.contributor.author	Kamalova D.
dc.contributor.author	Salakhov M.
dc.date.accessioned	2018-09-18T20:15:14Z
dc.date.available	2018-09-18T20:15:14Z
dc.date.issued	2014
dc.identifier.issn	1062-8738
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/137995
dc.description.abstract	An approach based on stochastic particle swarm optimization is proposed for the mathematical processing of spectral profiles. It is shown that the proposed approach allows accurate decomposition of complex model spectra and determination of the parameters of spectral components. © 2014 Allerton Press, Inc.
dc.relation.ispartofseries	Bulletin of the Russian Academy of Sciences: Physics
dc.title	Particle swarm optimization in the problem of decomposing two-component spectral profiles
dc.type	Conference Paper
dc.relation.ispartofseries-issue	3
dc.relation.ispartofseries-volume	78
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	210
dc.source.id	SCOPUS10628738-2014-78-3-SID84899050202

Files in this item

Size: 43.46Kb

Format: PDF

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