• DocumentCode
    286730
  • Title

    A neural network motion predictor

  • Author

    Meng, H. ; Picton, P.D.

  • Author_Institution
    Open Univ., Milton Keynes, UK
  • fYear
    1993
  • fDate
    25-27 May 1993
  • Firstpage
    177
  • Lastpage
    181
  • Abstract
    In this paper, the authors present the results of applying an Elman recurrent net to the prediction of the motion of an object. This neural network predictor can be used in the robot navigation system developed by Meng and Picton (1992) as an online predictor. An Elman net, a fast learning algorithm and an online learning scheme using specialised learning are described. Finally, they present the simulation results for three cases and conclusions
  • Keywords
    computerised navigation; learning (artificial intelligence); mobile robots; path planning; recurrent neural nets; Elman recurrent net; fast learning algorithm; mobile robots; motion predictor; neural network; online learning; robot navigation system;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Artificial Neural Networks, 1993., Third International Conference on
  • Conference_Location
    Brighton
  • Print_ISBN
    0-85296-573-7
  • Type

    conf

  • Filename
    263232