Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/233388| Title: | Adaptive methods for forecasting currency courses |
| Authors: | Soshnikova, L. A. |
| 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. 295-297. |
| Abstract: | The paper discusses the use of adaptive models for short-term forecasting of currency rates. As a criterion for the randomness of the movement of the levels of the dynamic range of currency rates, the criterion of turning points was used |
| URI: | http://elib.bsu.by/handle/123456789/233388 |
| 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 | |
|---|---|---|---|---|
| 295-297.pdf | 304,31 kB | Adobe PDF | View/Open |
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