KFU. Card publication. Markov and non-Markov processes in complex systems by the dynamical information entropy

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
- ES

MARKOV AND NON-MARKOV PROCESSES IN COMPLEX SYSTEMS BY THE DYNAMICAL INFORMATION ENTROPY

Form of presentation

Articles in international journals and collections

Year of publication

1999

Authors, employees of KFU

Gafarov Fail Mubarakovich, author

Yulmetev Renat Muzipovich, author

Bibliographic description in the original language

R.M Yulmetyev, , F.M Gafarov. Markov and non-Markov processes in complex systems by the dynamical information entropy. Physica A: Statistical Mechanics and its Applications Volume 274, Issues 1–2, 1 December 1999, Pages 381–384

Annotation

We consider the Markov and non-Markov processes in complex systems by the dynamical information Shannon entropy (DISE) method. The influence and important role of the two mutually dependent channels of entropy alternation (creation or generation of correlation) and anti-correlation (destroying or annihilation of correlation) have been discussed. The developed method has been used for the analysis of the complex systems of various natures: slow neutron scattering in liquid cesium, psychology (short-time numeral and pattern human memory and effect of stress on the dynamical taping-test), random dynamics of RR-intervals in human ECG (problem of diagnosis of various disease of the human cardio-vascular systems), chaotic dynamics of the parameters of financial markets and ecological systems

Keywords

Complex systems; Nonlinear phenomena; Markov and non-Markov processes; Dynamical information entropy; Creation and annihilation of correlation; Application to psychology; Cardiology; Finance and ecology

The name of the journal

PHYSICA A

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

https://repository.kpfu.ru/eng/?p_id=89237&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Gafarov Fail Mubarakovich	ru_RU
dc.contributor.author	Yulmetev Renat Muzipovich	ru_RU
dc.date.accessioned	1999-01-01T00:00:00Z	ru_RU
dc.date.available	1999-01-01T00:00:00Z	ru_RU
dc.date.issued	1999	ru_RU
dc.identifier.citation	R.M Yulmetyev, , F.M Gafarov. Markov and non-Markov processes in complex systems by the dynamical information entropy. Physica A: Statistical Mechanics and its Applications Volume 274, Issues 1–2, 1 December 1999, Pages 381–384	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=89237&p_lang=2	ru_RU
dc.description.abstract	PHYSICA A	ru_RU
dc.description.abstract	We consider the Markov and non-Markov processes in complex systems by the dynamical information Shannon entropy (DISE) method. The influence and important role of the two mutually dependent channels of entropy alternation (creation or generation of correlation) and anti-correlation (destroying or annihilation of correlation) have been discussed. The developed method has been used for the analysis of the complex systems of various natures: slow neutron scattering in liquid cesium, psychology (short-time numeral and pattern human memory and effect of stress on the dynamical taping-test), random dynamics of RR-intervals in human ECG (problem of diagnosis of various disease of the human cardio-vascular systems), chaotic dynamics of the parameters of financial markets and ecological systems	ru_RU
dc.language.iso	ru	ru_RU
dc.subject		ru_RU
dc.title	Markov and non-Markov processes in complex systems by the dynamical information entropy	ru_RU
dc.type	Articles in international journals and collections	ru_RU