• DocumentCode
    488918
  • Title

    Stochastic Neura1 Learning in Identification and State Estimation

  • Author

    Zohdy, Mohamed A. ; Mertz, Eric G. ; Adamczyk, Bogdan

  • Author_Institution
    Department of Electrical and Systems Engineering, Oakland University, Rochester, MI 48309
  • fYear
    1991
  • fDate
    26-28 June 1991
  • Firstpage
    1412
  • Lastpage
    1413
  • Abstract
    This paper investigates the application of stochastic neural networks to state estimation and system identification. The state estimation problem is approached by using a neural network and then a bank of Kalman filters. Also the system identification problem is solved by a neural network and by least squares identification.
  • Keywords
    Acceleration; Least squares methods; Matched filters; Neural networks; Neurons; State estimation; Stochastic processes; System identification; Systems engineering and theory; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1991
  • Conference_Location
    Boston, MA, USA
  • Print_ISBN
    0-87942-565-2
  • Type

    conf

  • Filename
    4791612
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=488918