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Intelligent systems. Theory and applications, 2022, Volume 26, Issue 1, Pages 129–132 (Mi ista343)  
Part 2. Mathematics and Computer Science

Implementation of the modified rabiner's method for polychastic matrices on neural adders

S. V. Shalagina, A. R. Nurutdinovab

a KNRTU-KAI
b KFU
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Abstract: The implementation of the modified Rabiner's method (MMP) is proposed for calculating the maximum probability of generating a Markov sequence of a given length based on one of the set of stochastic matrices belonging to the class of ergodic matrices (ESM). The implementation is carried out using the same type of elements - neural adders (NA). Estimates of the complexity of the implementation of the MMR by the number of NAs and storage elements as a function of the power of the set of ESMs and their dimensions are obtained.
Keywords: Rabiner's method, stochastic matrices, neural adders, complexity estimates.
Document Type: Article
Language: Russian
Citation: S. V. Shalagin, A. R. Nurutdinova, “Implementation of the modified rabiner's method for polychastic matrices on neural adders”, Intelligent systems. Theory and applications, 26:1 (2022), 129–132
Citation in format AMSBIB
\Bibitem{ShaNur22}
\by S.~V.~Shalagin, A.~R.~Nurutdinova
\paper Implementation of the modified rabiner's method for polychastic matrices on neural adders
\jour Intelligent systems. Theory and applications
\yr 2022
\vol 26
\issue 1
\pages 129--132
\mathnet{http://mi.mathnet.ru/ista343}
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