• DocumentCode
    2671540
  • Title

    From data to nonlinear dynamics: a hierarchical Bayes approach with neural nets

  • Author

    Matsumoto, T. ; Nakajima, Y. ; Hamagishi, H. ; Sugi, J. ; Saito, M.

  • Author_Institution
    Dept. of Electr., Electron. & Comput. Eng., Waseda Univ., Tokyo, Japan
  • fYear
    1998
  • fDate
    31 Aug-2 Sep 1998
  • Firstpage
    333
  • Lastpage
    342
  • Abstract
    An attempt is made to solve two classes of nonlinear time series prediction problems with a hierarchical Bayes approach using neural nets
  • Keywords
    Bayes methods; neural nets; nonlinear dynamical systems; time series; hierarchical Bayes approach; neural nets; nonlinear dynamics; nonlinear time series prediction problems; Bayesian methods; Chaos; Ear; Multilayer perceptrons; Neural networks; Noise level; Nonlinear equations; Parameter estimation; Predictive models; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks for Signal Processing VIII, 1998. Proceedings of the 1998 IEEE Signal Processing Society Workshop
  • Conference_Location
    Cambridge
  • ISSN
    1089-3555
  • Print_ISBN
    0-7803-5060-X
  • Type

    conf

  • DOI
    10.1109/NNSP.1998.710663
  • Filename
    710663
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2671540