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    Approach to predictability via anticipated synchronization

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    Identificadores
    URI: http://hdl.handle.net/10902/1888
    DOI: 10.1103/PhysRevE.72.046218
    ISSN: 1550-2376
    ISSN: 1539-3755
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    Author
    Ciszak, Marzena; Gutiérrez Llorente, José Manuel; Cofiño González, Antonio SantiagoAutoridad Unican; Mirasso, Claudio; Toral, Raúl; Pesquera González, LuisAutoridad Unican; Ortín González, Silvia
    Date
    2005-10
    Derechos
    © 2005 The American Physical Society
    Publicado en
    Physical Review. E, Statistical, Non Linear and Soft Matter Physics, 2005, 72(4), 046218
    Publisher
    American Physical Society
    Enlace a la publicación
    http://dx.doi.org/10.1103/PhysRevE.72.046218
    Abstract:
    Predictability of chaotic systems is limited, in addition to 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.
    Collections to which it belong
    • D20 Artículos [328]
    • D52 Artículos [627]

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    UNIVERSIDAD DE CANTABRIA

    Repositorio realizado por la Biblioteca Universitaria utilizando DSpace software
    Contact Us | Send Feedback
    Metadatos sujetos a:licencia de Creative Commons Reconocimiento 3.0 España