• DocumentCode
    3454166
  • Title

    Practical neural networks in a computer control package

  • Author

    Edge, G. ; Kambhampati, C. ; Sandoz, D. ; Warwick, K.

  • Author_Institution
    Predictive Control Ltd., UK
  • fYear
    1995
  • fDate
    35005
  • Firstpage
    42583
  • Lastpage
    42584
  • Abstract
    This paper deals with the integration of radial basis function (RBF) networks into the industrial software control package Connoisseur. The paper shows the improved modelling capabilities offered by RBF networks within the Connoisseur environment compared to linear modelling techniques such as recursive least squares. The paper also goes on to mention the way this improved modelling capability, obtained through the RBF networks will be utilised within Connoisseur
  • Keywords
    feedforward neural nets; industrial control; intelligent control; neurocontrollers; software packages; Connoisseur; RBF networks; computer control package; industrial software control package; practical neural networks; radial basis function networks;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Adaptive Controllers in Practice - Part One, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19951181
  • Filename
    495100