• DocumentCode
    1768433
  • Title

    Construction of recognition system at the uranium production process

  • Author

    Bektemyssova, G. ; Kuandykov, A. ; Im Cho Young ; Muhamediyev, R. ; Iskakov, S. ; Khamitov, A.

  • Author_Institution
    IITU, Almaty, Kazakhstan
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    1462
  • Lastpage
    1465
  • Abstract
    Taught systems such as artificial neural network (ANN) can be used for data interpretation of electric logging. Using only the ANN algorithm gives the result of coincidence between interpretable data and experimental results in certain samplings from 66% to 73%. But using additional algorithms of recognition and comparing the results of recognition could enhance quality of recognition by 1-3%. The problem of building recognition system by ensemble of classification algorithms was formulated. The paper describes the recognition algorithms which used in research, results of recognition and the process of construction of Recognition System.
  • Keywords
    learning (artificial intelligence); mineral processing; neural nets; pattern classification; uranium; ANN algorithm; artificial neural network; classification algorithm; data interpretation; electric logging; recognition system; uranium production process; Artificial neural networks; Erbium; Lithology; ensemble of algorithms; machine learning; uranium deposit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2014 14th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2093-7121
  • Print_ISBN
    978-8-9932-1506-9
  • Type

    conf

  • DOI
    10.1109/ICCAS.2014.6987791
  • Filename
    6987791