Chaos and Time Series Analysis

  • Tohru Ikeguchi
  • Tadashi Iokibe
  • Kazuyuki Aihara
Part of the Computer Science Workbench book series (WORKBENCH)


Researches on deterministic chaos have been rapidly progressing during the last two decades and our understanding on low-dimensional chaos has been considerably deepened. Theoretical and numerical analyses have shown that a simple deterministic nonlinear system with a few degrees of freedom can naturally produce very complicated chaotic behavior. In addition, it has been reported that there have been discovered many experimental data that imply the presence of low dimensional chaos in various real-world systems.


Time Series Data Time Series Analysis Surrogate Data Observe Time Series Radial Basis Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer-Verlag Tokyo 2000

Authors and Affiliations

  • Tohru Ikeguchi
  • Tadashi Iokibe
  • Kazuyuki Aihara

There are no affiliations available

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