KFU. Card publication. Identification of automata Markov models using a modified “forward-backward” algorithm

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FEDERAL UNIVERSITY

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IDENTIFICATION OF AUTOMATA MARKOV MODELS USING A MODIFIED &LDQUO;FORWARD-BACKWARD&RDQUO; ALGORITHM

Form of presentation

Articles in international journals and collections

Year of publication

2019

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Authors, employees of KFU

Nurutdinova Alsu Rafailovna, author

Bibliographic description in the original language

Nurutdinova A.R. Identification of automata Markov models using a modified “forward-backward” algorithm/ IOP Conf. Series: Journal of Physics: Conf. Series1158 (2019) 032041

Annotation

In 1989, Rabiner L.R proposed the solution of the problem of identifying hidden Markov models by induction using the modified «forward-backward« algorithm. In this paper, we propose the application of a modification of this method for solving the recognition of automaton Markov models following sequences of finite simple homogeneous Markov chains generated on the basis of stochastic ergodic matrices, which in turn determine the class of the automata Markov model.

Keywords

Identification of automata Markov models

The name of the journal

IOP Conf. Series: Journal of Physics: Conf. Series

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=222701&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Nurutdinova Alsu Rafailovna	ru_RU
dc.date.accessioned	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Nurutdinova A.R. Identification of automata Markov models using a modified “forward-backward” algorithm/ IOP Conf. Series: Journal of Physics: Conf. Series1158 (2019) 032041	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=222701&p_lang=2	ru_RU
dc.description.abstract	IOP Conf. Series: Journal of Physics: Conf. Series	ru_RU
dc.description.abstract	In 1989, Rabiner L.R proposed the solution of the problem of identifying hidden Markov models by induction using the modified «forward-backward« algorithm. In this paper, we propose the application of a modification of this method for solving the recognition of automaton Markov models following sequences of finite simple homogeneous Markov chains generated on the basis of stochastic ergodic matrices, which in turn determine the class of the automata Markov model.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Identification of automata Markov models using a modified “forward-backward” algorithm	ru_RU
dc.type	Articles in international journals and collections	ru_RU