• DocumentCode
    3629175
  • Title

    Analysis and prediction of time series using fuzzy transform

  • Author

    Irina Perfilieva;Vilem Novak;Viktor Pavliska;Antonin Dvorak;Martin Stepnicka

  • Author_Institution
    University of Ostrava, Institute for Research and Applications of Fuzzy Modelling, 30. dubna 22, 70103 Ostrava, Czech republic
  • fYear
    2008
  • Firstpage
    3876
  • Lastpage
    3880
  • Abstract
    A new methodology for forecasting of time series is proposed. It is based on combination of two techniques: fuzzy transform and perception-based logical deduction on the basis of learned linguistic description.
  • Keywords
    "Time series analysis","Transforms","Forecasting","Takagi-Sugeno model","Vectors","Artificial neural networks","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    2161-4407
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634355
  • Filename
    4634355
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3629175