This paper deals with the problem of the discrimination between well-predictable and not-well-predictable time series. One criterion for the separation is given by the size of the Lyapunov exponent, which was originally defined for deterministic systems. However, the Lyapunov exponent can also be analyzed and used for stochastic time series. Experimental results illustrate the classification between well-predictable and not-well-predictable time series. © Springer-Verlag Berlin, Heidelberg 2005.
CITATION STYLE
Busse, A. M. (2005). Classification of processes by the Lyapunov exponent. In Studies in Classification, Data Analysis, and Knowledge Organization (pp. 632–639). Kluwer Academic Publishers. https://doi.org/10.1007/3-540-28084-7_75
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