• DocumentCode
    2049351
  • Title

    VLSI design for a forward path neuron circuitry of a back propagation neural network

  • Author

    Rizkalla, Maher E. ; Aldridge, Richard L. ; Gundrum, Harry C.

  • Author_Institution
    Dept. of Electr. Eng., Indiana Univ., Indianapolis, IN, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    18-21 Aug 1996
  • Firstpage
    523
  • Abstract
    This paper describes the hardware design and implementations of the forward path for the back propagation algorithm of an analog neural network. The design considers the voltage range for fractional and floating point processing in multimedia applications. The PSpice simulation using MOSIS device parameters are presented
  • Keywords
    CMOS analogue integrated circuits; VLSI; analogue processing circuits; backpropagation; integrated circuit design; neural chips; MOSIS device parameters; PSpice simulation; VLSI design; analog neural network; back propagation neural network; backpropagation algorithm; floating point processing; forward path neuron circuitry; fractional point processing; hardware design; multimedia applications; Adders; Algorithm design and analysis; Analog circuits; Artificial neural networks; Back; Neural network hardware; Neural networks; Neurons; Transconductance; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1996., IEEE 39th Midwest symposium on
  • Conference_Location
    Ames, IA
  • Print_ISBN
    0-7803-3636-4
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1996.594224
  • Filename
    594224