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https://elib.bsu.by/handle/123456789/233365| Title: | Probabilistic data analysis for predicting mean time before critical integrity losses of complex system when explicit quantitative requirements to integrity are not specified |
| Authors: | Kostogryzov, A. Nistratov, A. Nistratov, G. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2019 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019. – Minsk : BSU, 2019. – P. 203-206. |
| Abstract: | When the requirements to system integrity are not specified (including dangerous manufacture, “smart” equipment, robotic systems, artificial intelligence systems etc.) the questions are appeared: What time can pass before crossing of conditional border of a possible critical loss of integrity? How to define this conditional time border quantitatively (to use preventive countermeasures in real time)? The mathematical approach to solve a problem of predicting mean time before critical integrity losses for complex system, when explicit quantitative requirements to integrity are not specified, is proposed |
| URI: | http://elib.bsu.by/handle/123456789/233365 |
| ISBN: | 978-985-566-811-5 |
| Appears in Collections: | 2019. Computer Data Analysis and Modeling : Stochastics and Data Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 203-206.pdf | 378,77 kB | Adobe PDF | View/Open |
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