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Neural network operating peculiarities

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dc.contributor.author VARHACH, Oleh
dc.contributor.author KUGAI, Kseniia
dc.date.accessioned 2021-06-23T12:21:06Z
dc.date.available 2021-06-23T12:21:06Z
dc.date.issued 2021
dc.identifier.citation ȚURCAN, Ana. Neural network operating peculiarities. In: Conferinţa Tehnico-Ştiinţifică a Studenţilor, Masteranzilor şi Doctoranzilor, Universitatea Tehnică a Moldovei, 23-25 martie, 2021. Chişinău, 2021, vol. 1, pp. 264-267. ISBN 978-9975-45-699-9. en_US
dc.identifier.isbn 978-9975-45-699-9
dc.identifier.uri http://repository.utm.md/handle/5014/16213
dc.description.abstract The article analyzes operating peculiarities of the standard neural network for a multilayer perceptron. The network structure and the principle of inverse error propagation algorithm operation are described. The article deals with the notions of artificial neural networks and deep structured learning. Neural networks are the basis of a new and interesting area – deep structured learning. The work covers basic concepts, as well as some code and math, which can help understand and build simple neural networks. en_US
dc.language.iso en en_US
dc.publisher Universitatea Tehnică a Moldovei en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject algorithm en_US
dc.subject deep structured learning en_US
dc.subject neuron en_US
dc.subject multilayer perceptron en_US
dc.title Neural network operating peculiarities en_US
dc.type Article en_US


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