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Partificial neural networks for processing big data using the example of vibration tests

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dc.contributor.author LEVCHENKO, Sergei
dc.date.accessioned 2024-04-26T06:09:01Z
dc.date.available 2024-04-26T06:09:01Z
dc.date.issued 2024
dc.identifier.citation LEVCHENKO, Sergei. Partificial neural networks for processing big data using the example of vibration tests. In: Quo Vadis – Ethics of the Scientific Research: conf. NANO-2024, event devoted to the 60th anniversary of the Technical University of Moldova, 15-18 April 2024, Chişinău, Republica Moldova: Program and proceedings of the conference, Chişinău 2024, pp. 100-101. ISBN 978-9975-64-422-8. en_US
dc.identifier.isbn 978-9975-64-422-8
dc.identifier.uri http://repository.utm.md/handle/5014/26931
dc.description.abstract The proposed research work is aimed at creating and studying artificial intelligence neural network models to search for structural dependencies in vibration spectra during bench tests of diesel engines with a wide power range and various design features. Research is carried out on the basis of data obtained from bench tests of engines. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.relation.ispartofseries NANO-2024 "Quo Vadis – Ethics of the Scientific Research", event devoted to the 60th anniversary of the Technical University of Moldova;15-18 April 2024, Chişinău, Republica Moldova
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject artificial intelligence neural networks en_US
dc.subject diesel engines en_US
dc.subject bench tests en_US
dc.title Partificial neural networks for processing big data using the example of vibration tests en_US
dc.type Article en_US


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