• DocumentCode
    1582017
  • Title

    A machine learning based approach to manufacturing process planning

  • Author

    Horváth, László ; Rudas, Imre J.

  • Author_Institution
    Banki Donat Polytech., Budapest, Hungary
  • fYear
    1993
  • fDate
    6/15/1905 12:00:00 AM
  • Firstpage
    429
  • Lastpage
    433
  • Abstract
    This paper presents a new approach to introducing machine learning techniques to solve a few problems encountered in the recent CAPP systems when they applied in company practice. It shows a process planning methodology which enables application of practically applicable learning algorithms. The authors suggest four levels of learning corresponding to the four levels of process planning knowledge defined.
  • Keywords
    computer aided production planning; learning (artificial intelligence); process computer control; production control; AI; CAPP; algorithms; application; machine learning; manufacturing process planning; production control; CADCAM; Computer aided manufacturing; Design automation; Knowledge representation; Machine learning; Machine learning algorithms; Manufacturing processes; Personnel; Problem-solving; Process planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 1993. Conference Proceedings, ISIE'93 - Budapest., IEEE International Symposium on
  • Conference_Location
    Budapest, Hungary
  • Print_ISBN
    0-7803-1227-9
  • Type

    conf

  • DOI
    10.1109/ISIE.1993.268767
  • Filename
    268767