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The deconvolution of complex spectra by artificial immune system

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dc.contributor.author Galiakhmetova D.
dc.contributor.author Sibgatullin M.
dc.contributor.author Galimullin D.
dc.contributor.author Kamalova D.
dc.date.accessioned 2018-04-05T07:09:58Z
dc.date.available 2018-04-05T07:09:58Z
dc.date.issued 2017
dc.identifier.issn 1742-6588
dc.identifier.uri http://dspace.kpfu.ru/xmlui/handle/net/130096
dc.description.abstract © Published under licence by IOP Publishing Ltd. An application of the artificial immune system method for decomposition of complex spectra is presented. The results of decomposition of the model contour consisting of three components, Gaussian contours, are demonstrated. The method of artificial immune system is an optimization method, which is based on the behaviour of the immune system and refers to modern methods of search for the engine optimization.
dc.relation.ispartofseries Journal of Physics: Conference Series
dc.title The deconvolution of complex spectra by artificial immune system
dc.type Conference Paper
dc.relation.ispartofseries-issue 4
dc.relation.ispartofseries-volume 917
dc.collection Публикации сотрудников КФУ
dc.source.id SCOPUS17426588-2017-917-4-SID85036451651


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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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