| Title: | Neural network prediction model of the pilots’ errors |
| Issue Date: | 2017 |
| Publisher: | Новая техника |
| Citation: | Danilenko A.N. Neural network prediction model of the pilots’ errors // Сборник трудов III международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2017) - Самара: Новая техника, 2017. - С. 1519-1522. |
| Abstract: | This paper introduces a hybrid model of the neuro-fuzzy classifier with integrated prediction of pilots’ mistakes. Experiments and studies of the network were conducted on real and test samples.The upgraded hybrid neuro-fuzzy classifier structure and the learning algorithm can solve the problem of the need for multiple individual performance measurements, the dynamics of which would make it possible to build a trend and solve the problem on small samples. Used in organizational and management activities, this principle can help in predicting the danger caused by the human factor. |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/13648 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| paper 273_1519-1522.pdf | Основная статья | 679.04 kB | Adobe PDF | View/Open |
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