Open AccessTHE 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 -
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.