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Effect of training data changing step and input vector excessive dimension of a neural network on approximation accuracy. Load calculation of a unstable communication line

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dc.contributor.author PENIN, Alexandr
dc.contributor.author SIDORENKO, Anatolie
dc.date.accessioned 2024-04-26T08:39:04Z
dc.date.available 2024-04-26T08:39:04Z
dc.date.issued 2024
dc.identifier.citation PENIN, Alexandr, SIDORENKO, Anatolie. Effect of training data changing step and input vector excessive dimension of a neural network on approximation accuracy. Load calculation of a unstable communication line. 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. 115-117. ISBN 978-9975-64-422-8. en_US
dc.identifier.isbn 978-9975-64-422-8
dc.identifier.uri http://repository.utm.md/handle/5014/26943
dc.description.abstract The machine and especially deep learning do not have a powerful mathematical platform and are based almost exclusively on engineering solutions. It is a practical discipline in which ideas are often proven empirically rather than theoretically. One of the applications of neural networks are the approximation or regression tasks. 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 machine learning en_US
dc.subject neural networks en_US
dc.subject approximation tasks en_US
dc.subject regression tasks en_US
dc.title Effect of training data changing step and input vector excessive dimension of a neural network on approximation accuracy. Load calculation of a unstable communication line en_US
dc.type Article en_US


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