• DocumentCode
    120907
  • Title

    Magnetic neural networks

  • Author

    Kotur, Bhargava R.

  • Author_Institution
    Dept. of Life Long Learning, Bharathidasan Univ., Tiruchirappalli, India
  • fYear
    2014
  • fDate
    21-22 Feb. 2014
  • Firstpage
    1227
  • Lastpage
    1230
  • Abstract
    This article explores a novel way of implementing the artificial neural networks (ANN) by using magnets. Upon implementation it works very efficiently as the data spreads throughout the network, analogous to the natural neuronal systems in the human brain and it requires no computations at all as it is done in the present ANN implementations. The striking feature is, it gives error-free outputs and thereby it proves to be much more efficient compared to the existing artificial neural network systems.
  • Keywords
    brain; magnets; neural nets; ANN; artificial neural networks; human brain; magnetic neural networks; natural neuronal systems; Artificial neural networks; Biological neural networks; Magnetic flux density; Magnetic separation; Manganese; Training; Artificial Neural Networks; Back Propagation; Efficient; Error free; Magnets; Novel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2014 IEEE International
  • Conference_Location
    Gurgaon
  • Print_ISBN
    978-1-4799-2571-1
  • Type

    conf

  • DOI
    10.1109/IAdCC.2014.6779502
  • Filename
    6779502