The basis of an automated design system of the packed absorber using neural networks

dc.contributor.author	Kharitonova O.S.
dc.contributor.author	Vyatkina I.V.
dc.contributor.author	Bronskaya V.V.
dc.contributor.author	Khairullina L.E.
dc.contributor.author	Shaikhetdinova R.S.
dc.contributor.author	Kotova N.V.
dc.date.accessioned	2021-02-25T06:53:25Z
dc.date.available	2021-02-25T06:53:25Z
dc.date.issued	2020
dc.identifier.issn	1757-8981
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/161296
dc.description.abstract	© Published under licence by IOP Publishing Ltd. An optimal artificial neural network has been developed for an application to determine the height and diameter of the packed absorber apparatus using neural networks. The obtained results can be used for modeling a wide class of objects of chemical technology with the possibility of formalization of calculation procedures.
dc.relation.ispartofseries	IOP Conference Series: Materials Science and Engineering
dc.title	The basis of an automated design system of the packed absorber using neural networks
dc.type	Conference Paper
dc.relation.ispartofseries-issue	1
dc.relation.ispartofseries-volume	786
dc.collection	Публикации сотрудников КФУ
dc.source.id	SCOPUS17578981-2020-786-1-SID85083043649

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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.