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News of the Kabardin-Balkar scientific center of RAS, 2016, Issue 1, Pages 42–48 (Mi izkab200)  
This article is cited in 1 scientific paper (total in 1 paper)

COMPUTER SCIENCE. CALCULATION EQUIPMENT. MANAGEMENT

Concept of two-level cellular-automaton predictive model

A. A. Temirov

Financial University under the Government of the Russian Federation, 125993 (GSP-3), Moscow, 49, Leningrad avenue
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Abstract: The second part of the article is devoted to the top-level algorithm models. Modeling of cellular automaton structure and forecasting are realized on the upper level. The genetic algorithm which determines the interaction of cells with all the nearest neighbors is proposed for learning linear cellular automaton. The mathematical apparatus of the theory of fuzzy sets is adequately involved in the article. Each stage of two-level cellular automaton predictive model is accompanied by a brief overview of the developed algorithms.
Keywords: nonlinear dynamics, time series, forecasting, chaos theory, fuzzy set, cellular automata, fractal properties, genetic algorithms.
Received: 14.10.2015
Document Type: Article
UDC: 519.21
Language: Russian
Citation: A. A. Temirov, “Concept of two-level cellular-automaton predictive model”, News of the Kabardin-Balkar scientific center of RAS, 2016, no. 1, 42–48
Citation in format AMSBIB
\Bibitem{Tem16}
\by A.~A.~Temirov
\paper Concept of two-level cellular-automaton predictive model
\jour News of the Kabardin-Balkar scientific center of RAS
\yr 2016
\issue 1
\pages 42--48
\mathnet{http://mi.mathnet.ru/izkab200}
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