• DocumentCode
    271291
  • Title

    A new realization of the conscience mechanism for self-organizing neural networks implemented in CMOS technology

  • Author

    Talaśka, Tomasz ; Rydlewski, Andrzej ; Długosz, Rafał

  • Author_Institution
    Fac. of Telecommun. & Electr. Eng., Univ. of Technol. & Life Sci., Bydgoszcz, Poland
  • fYear
    2014
  • fDate
    12-14 May 2014
  • Firstpage
    459
  • Lastpage
    462
  • Abstract
    The paper presents a simple current-mode conscience mechanism used in hardware implemented Winner Takes All neural networks to eliminate the problem of the, so called, dead neurons. These neurons reduce the number of data classes that can be distinguished by the NN, i.e. they decrease the efficiency of the NN. The circuit has been realized in the TSMC CMOS 0.18 μm process. At data rate of about 10 MSamples/s it dissipates the power of 15 μW.
  • Keywords
    CMOS integrated circuits; application specific integrated circuits; self-organising feature maps; CMOS technology; current mode conscience mechanism; dead neurons; power 15 muW; self organizing neural networks; size 0.18 mum; Artificial neural networks; Biological neural networks; CMOS integrated circuits; CMOS technology; Hardware; Neurons; Transistors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microelectronics Proceedings - MIEL 2014, 2014 29th International Conference on
  • Conference_Location
    Belgrade
  • Print_ISBN
    978-1-4799-5295-3
  • Type

    conf

  • DOI
    10.1109/MIEL.2014.6842190
  • Filename
    6842190
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=271291