Neural network model for predicting the level of residual knowledge of the subjects of study

Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/29423

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DC Field	Value	Language
dc.contributor.author	Prochorenko, I	-
dc.contributor.author	Tymoshenko, N	-
dc.contributor.author	Galchenko, S	-
dc.date.accessioned	2017-06-15T18:41:18Z	-
dc.date.available	2017-06-15T18:41:18Z	-
dc.date.issued	2016	-
dc.identifier.uri	http://er.nau.edu.ua/handle/NAU/29423	-
dc.description.abstract	The task is to build a neural network model depending on residual knowledge the trainees with whom they come into the labor market. Neural network model makes it possible with enough precision to predict the level of professional training according to their individual abilities.	uk_UA
dc.language.iso	en	uk_UA
dc.publisher	Aviation in the XXI-st century. Safety in aviation and space technologies: the seventh world congress, 19-21 of september 2016: abstracts. – K., 2016. – V.1. – P. 1.1.4-1.1.6.	uk_UA
dc.title	Neural network model for predicting the level of residual knowledge of the subjects of study	uk_UA
dc.type	Thesis	uk_UA
Appears in Collections:	Тези доповідей на конференціях кафедри автоматизації та енергоменеджменту

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