Modeling and Forecasting of Chaotic Processes

  • Igor Grabec
  • Wolfgang Sachse
Part of the Springer Series in Synergetics book series (SSSYN, volume 68)


In discussing the modeling and forecasting of chaotic processes we presume that the reader will be familiar with the fundamentals of deterministic chaos. For the interested reader we provide a brief description in Appendix B.


Prediction Error Chaotic Attractor Chaotic Signal Deterministic Chaos Chaotic Process 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Igor Grabec
    • 1
  • Wolfgang Sachse
    • 2
  1. 1.Faculty of Mechanical EngineeringUniversity of LjubljanaLjubljanaSlovenia
  2. 2.Theoretical and Applied MechanicsCornell UniversityIthacaUSA

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