• DocumentCode
    312555
  • Title

    Backpropagation neural network in determination of parameter d50 c of Hydrocyclones

  • Author

    Eren, Halit ; Fung, Chun Che ; Wong, Kok Wai

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Bentley, WA, Australia
  • Volume
    1
  • fYear
    1996
  • fDate
    26-29 Nov 1996
  • Firstpage
    163
  • Abstract
    The d50c, an important parameter of Hydrocyclones can accurately be determined by using backpropagation neural network (BPNN). The BPNN yields in high predictions with good correlated data. The results may be used in generating useful signals for the automatic control of Hydrocyclones
  • Keywords
    backpropagation; mineral processing industry; mining; neurocontrollers; pattern classification; process control; real-time systems; Hydrocyclones; automatic control; backpropagation neural network; mineral process industry; pattern classification; real time system; slurry; Artificial neural networks; Automatic control; Automatic generation control; Circuit testing; Control systems; Cyclones; Intelligent networks; Neural networks; Signal generators; Slurries;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-3679-8
  • Type

    conf

  • DOI
    10.1109/TENCON.1996.608773
  • Filename
    608773
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=312555