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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/7459
Title: Approach to predictability via anticipated ynchronization
Authors: Ciszak, Marzena; Gutiérrez, Jose M.; Cofiño, A. S.; Mirasso, Claudio R.; Toral, Raúl; Pesquera, Luis; Ortín, S.
Keywords: Synchronisation
Nonlinear dynamical systems
Neural nets
Physics computing
Issue Date: 25-Oct-2005
Publisher: American Physical Society
Citation: Physical Review E 72(1-8): 046218 2005)
Abstract: Predictability of chaotic systems is limited, besides the precision of the knowledge of the initial conditions, by the error of the models used to extract the nonlinear dynamics from the time series. In this paper we analyze the predictions obtained from the anticipated synchronization scheme using a chain of slave neural network approximate replicas of the master system. We compare the maximum prediction horizons obtained with those attainable using standard prediction techniques.
Description: 8 pages.-- PACS nrs.: 05.45.Xt, 95.10.Fh, 87.18.Sn.
Publisher version (URL): http://dx.doi.org/10.1103/PhysRevE.72.046218
URI: http://hdl.handle.net/10261/7459
ISSN: 1539-3755
DOI: 10.1103/PhysRevE.72.046218
Appears in Collections:(IFCA) Artículos
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