• DocumentCode
    277162
  • Title

    Neural network based control in food processing

  • Author

    Warwick, Kevin

  • Author_Institution
    Dept. of Cybern., Reading Univ., UK
  • fYear
    1992
  • fDate
    33697
  • Firstpage
    42461
  • Lastpage
    42465
  • Abstract
    A number of commonly encountered simple neural network types are discussed, with particular attention being paid to their applicability in automation and control when applied to food processing. In the first instance n-tuple networks are considered, these being particularly useful for high speed production checking operations. Subsequently backpropagation networks are discussed, these being useful both in a more familiar feedback control arrangement and also for such things as recipe prediction
  • Keywords
    food processing industry; neural nets; process computer control; backpropagation networks; factory automation; food processing; n-tuple networks; neural net based control; process computer control; recipe prediction;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automation and Control in Food Processing, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    168089