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Deconvolution of complex spectra into components by the bee swarm algorithm

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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


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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.

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