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Information Journal Paper

Title

PHASE SPACE RECONSTRUCTION OF CHAOTIC TIME SERIES USING AN INTELLIGENT METHOD

Pages

  3-10

Abstract

 In the face of a chaotic system whose mathematical model is not available, because of unknown effective factors and unavailable dynamical equations, using time series approach can be useful. Therefore, phase space reconstruction of a chaotic system by using a scalar time series from its output observations is considered for obtaining information on this system from its one-dimensional signal. Two parameters Delay time and EMBEDDING DIMENSION are needed for phase space reconstruction based on embedding theorem. In this paper a method for estimation of an appropriate EMBEDDING DIMENSION of underlying chaotic system from the observed time series by using Time Delay Neural Network (TDNN) is presented. This new way is different from the conventional FALSE NEAREST NEIGHBORS (FNN) method. The EMBEDDING DIMENSION estimations have been compared with FNN method and their comparison shows the effectiveness of the proposed methodology.

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    APA: Copy

    PARI ZANGENEH, MARYAM, ATAEI, MOHAMMAD, & MOALLEM, PEIMAN. (2009). PHASE SPACE RECONSTRUCTION OF CHAOTIC TIME SERIES USING AN INTELLIGENT METHOD. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), 1(2), 3-10. SID. https://sid.ir/paper/186493/en

    Vancouver: Copy

    PARI ZANGENEH MARYAM, ATAEI MOHAMMAD, MOALLEM PEIMAN. PHASE SPACE RECONSTRUCTION OF CHAOTIC TIME SERIES USING AN INTELLIGENT METHOD. JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER)[Internet]. 2009;1(2):3-10. Available from: https://sid.ir/paper/186493/en

    IEEE: Copy

    MARYAM PARI ZANGENEH, MOHAMMAD ATAEI, and PEIMAN MOALLEM, “PHASE SPACE RECONSTRUCTION OF CHAOTIC TIME SERIES USING AN INTELLIGENT METHOD,” JOURNAL OF ELECTRICAL ENGINEERING DEPARTMENT, TRANSACTION ON ELECTRICAL TECHNOLOGY (ELECTRONICS AND POWER), vol. 1, no. 2, pp. 3–10, 2009, [Online]. Available: https://sid.ir/paper/186493/en

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