Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/52079Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Perekhodtseva, E. V. | - |
| dc.date.accessioned | 2013-11-18T07:57:58Z | - |
| dc.date.available | 2013-11-18T07:57:58Z | - |
| dc.date.issued | 2013 | - |
| dc.identifier.citation | Computer Data Analysis and Modeling: Theoretical and Applied Stochastics : Proc. of the Tenth Intern. Conf., Minsk, Sept. 10–14, 2013. Vol 2. — Minsk, 2013. - P. 138-142 | ru |
| dc.identifier.uri | http://elib.bsu.by/handle/123456789/52079 | - |
| dc.description.abstract | Development of successful method of automated statistical well-in-advance forecast (from 12 hours to two days) of dangerous phenomena – severe squalls and tornadoes – could allow mitigate the economic losses. | ru |
| dc.language.iso | en | ru |
| dc.publisher | Minsk : Publ. center of BSU | ru |
| dc.subject | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика | ru |
| dc.title | The model of the stochastic optimization of the automated forecast of dangerous squalls and tornadoes over the territory of the republic of byelorussia | ru |
| dc.type | Article | ru |
| Appears in Collections: | 2013. Computer Data Analysis and Modeling. Vol 2 Vol. 2 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 138-142.pdf | 575,65 kB | Adobe PDF | View/Open |
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