Please use this identifier to cite or link to this item:
https://er.nau.edu.ua/handle/NAU/29423| Title: | Neural network model for predicting the level of residual knowledge of the subjects of study |
| Authors: | Prochorenko, I Tymoshenko, N Galchenko, S |
| Issue Date: | 2016 |
| 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. |
| 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. |
| URI: | http://er.nau.edu.ua/handle/NAU/29423 |
| Appears in Collections: | Тези доповідей на конференціях кафедри автоматизації та енергоменеджменту |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Прохоренко И.pdf | Тези доповіді | 470.52 kB | Adobe PDF | View/Open |
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