Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.date | 2020 | |
| dc.date.accessioned | 2025-08-22T12:19:42Z | - |
| dc.date.available | 2025-08-22T12:19:42Z | - |
| dc.date.issued | 2020 | |
| dc.identifier.identifier | Dspace\SGAU\20200729\84792 | |
| dc.identifier.citation | Shalagin S.V. Identification of Markov sequences based on a modified “forward-backward” algorithm/ S.V. Shalagin, A.R. Nurutdinova // Информационные технологии и нанотехнологии (ИТНТ-2020). Сборник трудов по материалам VI Международной конференции и молодежной школы (г. Самара, 26-29 мая): в 4 т. / Самар. нац.-исслед. ун-т им. С. П. Королева (Самар. ун-т), Ин-т систем. обраб. изобр. РАН-фил. ФНИЦ "Кристаллография и фотоника" РАН; [под ред. В. А. Фурсова]. – Самара: Изд-во Самар. ун-та, 2020. – Том 4. Науки о данных. – 2020. – С. 28-31. | |
| dc.identifier.uri | http://repo.ssau.ru/jspui/handle/123456789/12413 | - |
| dc.description.abstract | In 1989, L.R. Rabiner proposed a solution to the problem of identifying hidden Markov models by the induction method using a modified “forward-backward” algorithm. This article proposes the use of a modification of this method to solve the problem of identifying Markov sequences for belonging with a given probability to a specific class of the automate Markov model (AMM). A model defined on the basis of stochastic matrices of the class ergodic, which determine the class of the AMM. | |
| dc.language | en_US | |
| dc.title | Identification of Markov sequences based on a modified “forward-backward” algorithm | |
| dc.type | Article | |
| local.identifier.olduri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Identification-of-Markov-sequences-based-on-a-modified-“forwardbackward”-algorithm-84792 | |
| local.identifier.olduri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/Identification-of-Markov-sequences-based-on-a-modified-“forwardbackward”-algorithm-84792 | |
| Appears in Collections: | Информационные технологии и нанотехнологии | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ИТНТ-2020_том 4-28-31.pdf | 445.14 kB | Adobe PDF | View/Open |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.