• DocumentCode
    1034609
  • Title

    The effects of quantization on multilayer neural networks

  • Author

    Dündar, Günhan ; Rose, Kenneth

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey
  • Volume
    6
  • Issue
    6
  • fYear
    1995
  • fDate
    11/1/1995 12:00:00 AM
  • Firstpage
    1446
  • Lastpage
    1451
  • Abstract
    The effect of weight quantization in multilayer neural networks is discussed. A method is derived by which one can predict the performance degradation at the output given the properties of the network and number of bits of quantization. Predictions from this method are evaluated against simulation results. An algorithm to decrease the noise at the output is presented and the results are compared with those above
  • Keywords
    backpropagation; multilayer perceptrons; probability; quantisation (signal); multilayer neural networks; noise; performance degradation; weight quantization; Circuit noise; Circuit simulation; Degradation; EPROM; Multi-layer neural network; Neural networks; Neurons; Predictive models; Quantization; Switched capacitor circuits;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.471364
  • Filename
    471364