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Application of Machine Learning Algorithms and Neural Networks for Recognition of Parasitic Parameters by the Output Signal in High-Power Pulsed Electrophysics Devices

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dc.contributor.authorAveryanov, G. P.
dc.contributor.authorDmitrieva, V. V.
dc.contributor.authorАверьянов, Герман Петрович
dc.contributor.authorДмитриева, Валентина Викторовна
dc.date.accessioned2024-12-27T15:13:27Z
dc.date.available2024-12-27T15:13:27Z
dc.date.issued2023
dc.format.extentС. 2696-2702
dc.identifier.citationAveryanov, G. P. Application of Machine Learning Algorithms and Neural Networks for Recognition of Parasitic Parameters by the Output Signal in High-Power Pulsed Electrophysics Devices / Averyanov, G. P., Dmitrieva, V. V. // Physics of Atomic Nuclei. - 2023. - 86. - № 12. - P. 2696-2702. - 10.1134/S1063778823100046
dc.identifier.doi10.1134/S1063778823100046
dc.identifier.urihttps://www.doi.org/10.1134/S1063778823100046
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85188154740&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/29771
dc.relation.ispartofPhysics of Atomic Nuclei
dc.titleApplication of Machine Learning Algorithms and Neural Networks for Recognition of Parasitic Parameters by the Output Signal in High-Power Pulsed Electrophysics Devices
dc.typeArticle
dspace.entity.typePublication
oaire.citation.issue12
oaire.citation.volume86
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