• DocumentCode
    303821
  • Title

    A neural networks approach to control the temperature on rapid thermal processing

  • Author

    Fortuna, L. ; Muscato, G. ; Nunnari, G. ; Papaleo, R.

  • Author_Institution
    Dipartimento Elettrico, Elettronico e Sistemistico, Catania Univ., Italy
  • Volume
    2
  • fYear
    1996
  • fDate
    13-16 May 1996
  • Firstpage
    649
  • Abstract
    In this paper an innovative strategy based on neural networks has been introduced for modeling of rapid thermal processes (RTP) in semiconductor wafer fabrication. The nonlinearity of the mentioned processes has been successfully dealt and a satisfactory model has been derived. Numerical simulations emphasize the suitability of the introduced approach
  • Keywords
    control nonlinearities; integrated circuit manufacture; neurocontrollers; rapid thermal processing; temperature control; RTP modeling; neural networks; nonlinearity; rapid thermal processing; semiconductor wafer fabrication; temperature control; Annealing; Control systems; Infrared heating; Lamps; Neural networks; Oxidation; Rapid thermal processing; Semiconductor device modeling; Semiconductor process modeling; Temperature control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean
  • Conference_Location
    Bari
  • Print_ISBN
    0-7803-3109-5
  • Type

    conf

  • DOI
    10.1109/MELCON.1996.551303
  • Filename
    551303