• DocumentCode
    1097947
  • Title

    Neural networks in process plant modelling and control

  • Author

    Turner, P. ; Montague, G.A. ; Morris, A.J.

  • Author_Institution
    Dept. of Chem. & Process Eng., Newcastle upon Tyne Univ., UK
  • Volume
    5
  • Issue
    3
  • fYear
    1994
  • fDate
    6/1/1994 12:00:00 AM
  • Firstpage
    131
  • Lastpage
    134
  • Abstract
    The Teaching Company Scheme offers a great deal of opportunity and benefits to both the industrial and academic partners involved. This article pays particular reference to an ongoing programme that exists between ICI Engineering and the University of Newcastle-upon-Tyne. In order to place the scope of the project into perspective, the authors describe briefly the technology involved. The original objective of this programme was to install and commission three successful neural network algorithms onto three separate chemical processes. As time has progressed, the original objective has been found to be extremely conservative in scope. Through exploiting current work and expertise at the University of Newcastle-upon-Tyne in the area of neural network theory and practice, many more applications have been possible.<>
  • Keywords
    ICI; chemical engineering computing; chemical industry; neural nets; process computer control; ICI Engineering; Teaching Company Scheme; University of Newcastle-upon-Tyne; chemical processes; neural network algorithms; neural network theory; process plant control; process plant modelling; Chemical industry; Neural networks; Process control;
  • fLanguage
    English
  • Journal_Title
    Computing & Control Engineering Journal
  • Publisher
    iet
  • ISSN
    0956-3385
  • Type

    jour

  • DOI
    10.1049/cce:19940308
  • Filename
    289497