• DocumentCode
    2137417
  • Title

    Control of metal-cutting process using neural fuzzy controller

  • Author

    Balazinski, M. ; Czogala, E. ; Sadowski, T.

  • Author_Institution
    Mech. Eng. Dept., Ecole Polytech. de Montreal, Que., Canada
  • fYear
    1993
  • fDate
    1993
  • Firstpage
    161
  • Abstract
    The authors suggest two structures for a neural fuzzy controller which link the ideas of a fuzzy controller and a neural network. Results of simulations comparing the performance of such a controller to that of a conventional fuzzy logic controller are presented. The experiment indicates that the performance of the neural fuzzy controller is satisfactory. It performs as well as a conventional fuzzy logic controller while being more flexible and faster
  • Keywords
    cutting; fuzzy control; fuzzy logic; neural nets; process computer control; fuzzy logic; metal-cutting process; neural fuzzy controller; neural network; Error correction; Expert systems; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Humans; Machining; Neural networks; Process control; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1993., Second IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    0-7803-0614-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.1993.327497
  • Filename
    327497