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Scientific personnel training in convolutional neural networks for the implementation of research projects of the MegaScience class

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dc.contributor.authorShtanko, A. N.
dc.contributor.authorKulik, S. D.
dc.contributor.authorКулик, Сергей Дмитриевич
dc.date.accessioned2024-11-21T15:29:20Z
dc.date.available2024-11-21T15:29:20Z
dc.date.issued2019
dc.description.abstract© Published under licence by IOP Publishing Ltd.Megascience projects require an all-inclusive interdisciplinary approach. Because of that scientific personnel engaged in projects of this type must possess relevant required interdisciplinary skills. Artificial intelligence in particular convolutional neural networks has a wide range of applications, and it could be used to solve complicated problems in all kinds of various fields of science. Thus, the understanding of the principles of neural networks' working is a necessary skill for scientific personnel. In this paper, we're considering practical examples and fields of applications of neural networks in the real world.
dc.identifier.citationShtanko, A. N. Scientific personnel training in convolutional neural networks for the implementation of research projects of the MegaScience class / Shtanko, A.N., Kulik, S.D. // Journal of Physics: Conference Series. - 2019. - 1406. - № 1. - 10.1088/1742-6596/1406/1/012014
dc.identifier.doi10.1088/1742-6596/1406/1/012014
dc.identifier.urihttps://www.doi.org/10.1088/1742-6596/1406/1/012014
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85076625596&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/19035
dc.relation.ispartofJournal of Physics: Conference Series
dc.titleScientific personnel training in convolutional neural networks for the implementation of research projects of the MegaScience class
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume1406
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relation.isAuthorOfPublication.latestForDiscovery7ce44b2d-ec0b-42b1-beca-1477fbb1b638
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