• DocumentCode
    2665039
  • Title

    An useful system based data mining of the ore mixing in sintering process

  • Author

    Ruiyin, Tang ; Hongkun, He

  • Author_Institution
    Coll. of Electr. Eng., Hebei United Univ., Tangshan, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    174
  • Lastpage
    177
  • Abstract
    The article introduced the system of ore mixing of sintering based on data mining and neuron network. Appling the method of cluster to the saved history data of the sintering process to classify the history data into three categories. And then, established neuron network model of each cluster. Every new sample should be put into the Corresponding cluster first by the distance of Eucliden, and then we can predict the quality index of the new sample by the neuron network model. The method is more effective and accurate, and it can extend to other production of the enterprise.
  • Keywords
    data mining; mineral processing; mixing; neural nets; pattern classification; pattern clustering; production engineering computing; quality management; sintering; data mining; enterprise production; history data classification; neuron network model; ore mixing; quality index prediction; sintering process; Data mining; Indexes; Mathematical model; Neurons; Ores; Software; Steel; Data mining; cluster; neuron network; ore-mixing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244025
  • Filename
    6244025