• DocumentCode
    2047024
  • Title

    Improving the Performance of the PI Systems through the Use of Neural Network

  • Author

    Jameii, M. Khak ; Nekoui, M.A.

  • Author_Institution
    Comput. Eng. Dept., Azad Islamic Univ. of Sari, Mazandaran, Iran
  • Volume
    1
  • fYear
    2010
  • fDate
    19-21 March 2010
  • Firstpage
    561
  • Lastpage
    566
  • Abstract
    Pulse induction systems include the very cheep and often-used metal detectors employed, besides other applications, in geology and mine-detecting robots. these systems only detect the presence of metals but are not capable of distinguishing them from each other in this article a method is introduced in which multiple layer perception networks are used to distinguish metals from each other on the basis of their electromagnetic characteristics . This method has been tested on 200 different samples containing the three metals iron, copper and aluminum. The results obtained show the degree of accuracy of the proposed method is over 95 percent.
  • Keywords
    electromagnetic induction; metal detectors; multilayer perceptrons; robots; PI system; electromagnetic characteristics; metal detector; mine detecting robots; multiple layer perception networks; neural network; pulse induction system; Aluminum; Copper; Detectors; EMP radiation effects; Electromagnetic induction; Geology; Iron; Neural networks; Robots; Testing; inductance; metal detector; neural network; pulse induction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Applications (ICCEA), 2010 Second International Conference on
  • Conference_Location
    Bali Island
  • Print_ISBN
    978-1-4244-6079-3
  • Electronic_ISBN
    978-1-4244-6080-9
  • Type

    conf

  • DOI
    10.1109/ICCEA.2010.114
  • Filename
    5445767