• DocumentCode
    801086
  • Title

    Analysis and design of an analog sorting network

  • Author

    Wang, Jun

  • Author_Institution
    Dept. of Ind. Technol., North Dakota Univ., Grand Forks, ND, USA
  • Volume
    6
  • Issue
    4
  • fYear
    1995
  • fDate
    7/1/1995 12:00:00 AM
  • Firstpage
    962
  • Lastpage
    971
  • Abstract
    An analog sorting neural network is presented. First, existing order representations are discussed and a generalized order representation is introduced. The sorting problem is then formulated as the assignment problem. Based on the assignment problem formulation, the neural network architecture is described. Design principles and an op-amp based circuit realization of the analog neural network are delineated. Three illustrative examples are also discussed to demonstrate the capability and performance of the analog neural network. The proposed analog neural network is shown to be capable of monotonic and bitonic sorting and suitable for hardware implementation
  • Keywords
    analogue processing circuits; network analysis; neural nets; operational amplifiers; sorting; analog neural network; analog sorting network; assignment problem; bitonic sorting; monotonic sorting; neural network architecture; order representations; Circuits; Data processing; Hopfield neural networks; Neural network hardware; Neural networks; Operational amplifiers; Recurrent neural networks; Signal processing algorithms; Sorting; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.392258
  • Filename
    392258