• DocumentCode
    2495843
  • Title

    Comparison of the Bayesian and neural network algorithms in nonlinear navigation estimation problems

  • Author

    Stepanov, O.A. ; Vasiliev, V.A.

  • Author_Institution
    Concern CSRI Elektropribor, Russia
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Similarities and differences between the algorithms based on the Bayesian approach, commonly used for solution of nonlinear navigation estimation problems, and the algorithms based on neural networks (NN) are analyzed. The possibilities of using NN for solution of nonlinear navigation problems are discussed.
  • Keywords
    belief networks; estimation theory; filtering theory; navigation; neural nets; Bayesian approach; neural network algorithms; nonlinear navigation estimation problems; Artificial neural networks; Barium; Bayesian methods; Measurement uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2010 International Joint Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-6916-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2010.5596834
  • Filename
    5596834
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2495843