• DocumentCode
    3782944
  • Title

    VLSI implementation of GRBF (Gaussian radial basis function) networks

  • Author

    I.C. Cevikhas;A.S. Ogrenci;G. Dundar;S. Balkur

  • Author_Institution
    Res. Center, TUBITAK, Marmara, Turkey
  • Volume
    3
  • fYear
    2000
  • Firstpage
    646
  • Abstract
    A GRBF network is designed for VLSI implementation. Building blocks of the network consist mainly of analog circuits: op amp, multiplier, multiplying DAC (digital to analog converter), floating resistor, summer and exponentiator. Parameters of the network (center, width of the Gaussian function and output layer weights) are represented digitally for convenient interfacing. It is shown that individual GRBF units allow independent tuning of center, width and amplitude. Several network structures are simulated as function approximation examples, and the performance is verified to be satisfactory.
  • Keywords
    "Very large scale integration","Neural networks","Computer networks","Adders","Function approximation","Neural network hardware","Tuned circuits","Councils","Electronic mail","Design engineering"
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
  • Print_ISBN
    0-7803-5482-6
  • Type

    conf

  • DOI
    10.1109/ISCAS.2000.856143
  • Filename
    856143