Abstract
The paper deals with the problem of prediction of time series with memory for which classical prediction methods are frequently inadequate. A method is proposed that is based on a model of cellular automata, classification methods, and fuzzy set theory. The accuracy of models based on this method is estimated.
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Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 43–54, November–December 2006.
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Perepelitsa, V.A., Maksishko, N.K. & Kozin, I.V. Using a model of cellular automata and classification methods for prediction of time series with memory. Cybern Syst Anal 42, 807–816 (2006). https://doi.org/10.1007/s10559-006-0121-4
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DOI: https://doi.org/10.1007/s10559-006-0121-4