• DocumentCode
    354213
  • Title

    Hopfield neural network via Volterra series implement fast prediction of chaotic time series

  • Author

    Shuangbing, Guo ; Xian-Ci, Xiao

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1051
  • Abstract
    In this paper, we construct predictive model of chaotic time series via Volterra series and characteristics of Hopfield neural network, which possess fast and parallel processing. We also induce weight formula of Hopfield neural network. It is shown through experiments that this model is valid
  • Keywords
    Hopfield neural nets; Volterra series; chaos; prediction theory; time series; Hopfield neural network; Volterra series; chaotic time series prediction; fast parallel processing; Chaos; Hopfield neural networks; Neural networks; Parallel processing; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.863397
  • Filename
    863397
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=354213