Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Про некоторые новые особенности использования скрытых марковских моделей для анализа и прогнозирования временных рядов

Baklan I.1, Stepankova A.1
1 National Academy of Management

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UDC: 519.8
Publication Language: Ukrainian
Stuc. intelekt. 2010; 15(4):337-341

Abstract: In this paper we consider some new approaches to analysis and prognosis of time series by means of hidden Markov’s models. We propose for time series analysis to use mixtures of unhomogenous hidden Markov’s models. Also we consider some properties of hybrid fuzzy hidden Markov’s models for time series prognosis.

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