Deconvolution of complex spectra into components by the bee swarm algorithm

dc.contributor.author	Yagfarov R.
dc.contributor.author	Sibgatullin M.
dc.contributor.author	Galimullin D.
dc.contributor.author	Kamalova D.
dc.contributor.author	Salakhov M.
dc.date.accessioned	2018-09-19T21:35:32Z
dc.date.available	2018-09-19T21:35:32Z
dc.date.issued	2016
dc.identifier.issn	1742-6588
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/144172
dc.description.abstract	The bee swarm algorithm is adapted for the solution of the problem of deconvolution of complex spectral contours into components. Comparison of biological concepts relating to the behaviour of bees in a colony and mathematical concepts relating to the quality of the obtained solutions is carried out (mean square error, random solutions in the each iteration). Model experiments, which have been realized on the example of a signal representing a sum of three Lorentz contours of various intensity and half-width, confirm the efficiency of the offered approach.
dc.relation.ispartofseries	Journal of Physics: Conference Series
dc.title	Deconvolution of complex spectra into components by the bee swarm algorithm
dc.type	Conference Paper
dc.relation.ispartofseries-issue	1
dc.relation.ispartofseries-volume	714
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS17426588-2016-714-1-SID84977262277

Файлы в этом документе

Имя: SCOPUS17426588-20 ...

Размер: 43.48Kb

Формат: 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.