Markovian processes theory for neurocomputer description
- 1 Ph.D. (Eng.), Associate Professor, NUST «MISIS» (Moscow)
- 2 Ph.D. (Eng.), Corresponding Member of the IAI, Chief Science of the SCE BIOMEDIS (Moscow)
Abstract
Possibility of application Markov processes with discrete time for receiving probability distribution of informational n atom consequences in depends on a time is rated. Formula for calculation of transitional probabilities matrix and probabilities distribution vector for consequences and consequences groups are adduced. Net graph of 3 atom was made for example.
How to cite
Румянцева В.А., Цыганков В.Д. Использование теории цепей Маркова для описания нейрокомпьютера // Нейрокомпьютеры: разработка, применение. 2015. № 2. С. 3–11.
References
- Cygankov V.D. Nejjrokompjuter i mozg. M.: Sinteg. 2001.
- Karpelevich F.I. EHlementy teorii markovskikh cepejj i massovogo obsluzhivanija i ikh primenenie v reshenii transportnykh zadach. Metodicheskoe posobie. CH. 1. M.: Tipografija MIIT. 1980.
- Gospodchikov E.D. O raspredelenii verojatnosti po sostojanijam sistemy tipa «EHmbrion». N. Novgorod: IPF. 2007.