Neural network operating peculiarities

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