THE METHOD OF BUILDING OF BEHAVIOR MODEL OF NON-MARKOV COMPLEX SYSTEMS AS A GRAPH OF STATES AND TRANSITIONS | Zendy

Bohdan Volochiy | Zendy; Leonid Ozirkovskyy | Zendy; Ihor W. Kulyk | Zendy

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THE METHOD OF BUILDING OF BEHAVIOR MODEL OF NON-MARKOV COMPLEX SYSTEMS AS A GRAPH OF STATES AND TRANSITIONS

Author(s) -

Bohdan Volochiy,

Leonid Ozirkovskyy,

Ihor W. Kulyk

Publication year - 2014

Publication title -

international journal of computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.184

H-Index - 11

eISSN - 2312-5381

pISSN - 1727-6209

DOI - 10.47839/ijc.11.3.570

Subject(s) - erlang (programming language) , markov chain , computer science , markov process , graph , markov model , variable order markov model , theoretical computer science , markov property , mathematical optimization , mathematics , machine learning , statistics , functional programming

The goal of the paper is the construction of behavior models of discrete-continuous stochastic systems of non-Markov type by the method of Erlang’s phases. The improved method of formalized construction of behavior models as a graph of states and transitions is developed. Since this method is a part of technology modeling discrete-continuous stochastic systems, now the process of construction of behavior systems of non-Markov type is automated.

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