Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/29423
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dc.contributor.authorProchorenko, I-
dc.contributor.authorTymoshenko, N-
dc.contributor.authorGalchenko, S-
dc.date.accessioned2017-06-15T18:41:18Z-
dc.date.available2017-06-15T18:41:18Z-
dc.date.issued2016-
dc.identifier.urihttp://er.nau.edu.ua/handle/NAU/29423-
dc.description.abstractThe 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.isoenuk_UA
dc.publisherAviation 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.titleNeural network model for predicting the level of residual knowledge of the subjects of studyuk_UA
dc.typeThesisuk_UA
Appears in Collections:Тези доповідей на конференціях кафедри автоматизації та енергоменеджменту

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