• DocumentCode
    354212
  • Title

    Neural network self-reliance signal forecast based on LS rule

  • Author

    Xuechun, Yang ; Weigang, Tao ; Xinxi, Feng

  • Author_Institution
    Commun. Inst., Airforce Eng. Univ., Xi´´an, China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1047
  • Abstract
    For the problem of signal forecasting a new method, the neural network self-reliance signal forecasting based on least squares (LS) rule, is presented in this paper from the point of view of studying the theory of neural network. The simulation results show that the new method has such advantages as low processing time, high precision, easy realization, etc
  • Keywords
    least squares approximations; neural nets; prediction theory; signal processing; least squares rule; neural network; self-reliance signals; signal forecasting; Neural networks;
  • 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.2000.863396
  • Filename
    863396
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=354212