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Titlebook: Convergent Cognitive Information Technologies; Third International Vladimir Sukhomlin,Elena Zubareva Conference proceedings 2020 Springer

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978-3-030-37435-8Springer Nature Switzerland AG 2020
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F. Lapostolle,J. Catineau,F. Adnetroven that if the self-similarity feature is present in the processes investigated, the Hurst self-similarity method (R/S analysis) and almost-periodic functions will enable us to discover the almost periods of repeatability of events, and this will further allow us to forecast their behaviour over time and predict new events.
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F. Lapostolle,J. Catineau,F. Adnetherefore allows us to use the previous theory. For example, on the basis of obtained results, we can apply various algorithms of equivalent transformations of nondeterministic finite automata to simplified them.
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Forecasting News Events Using the Theory of Self-similarity by Analysing the Spectra of Information roven that if the self-similarity feature is present in the processes investigated, the Hurst self-similarity method (R/S analysis) and almost-periodic functions will enable us to discover the almost periods of repeatability of events, and this will further allow us to forecast their behaviour over time and predict new events.
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An Equivalence Relation on the Class of Regular Languagesherefore allows us to use the previous theory. For example, on the basis of obtained results, we can apply various algorithms of equivalent transformations of nondeterministic finite automata to simplified them.
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