• DocumentCode
    772504
  • Title

    A parallel neural processor for real-time applications

  • Author

    Danese, G. ; Leporati, F.

  • Author_Institution
    Pavia Univ.
  • Volume
    22
  • Issue
    3
  • fYear
    2002
  • Firstpage
    20
  • Lastpage
    31
  • Abstract
    Training and testing artificial neural networks can be challenging and time-consuming. Experiments with two real-time applications were performed to compare three approaches for implementing a multilayer perceptron neural network. In both applications, the special-purpose processor performed best
  • Keywords
    learning (artificial intelligence); multilayer perceptrons; neural nets; parallel processing; real-time systems; learning; multilayer perceptron; neural networks; parallel neural processor; real-time systems; Artificial neural networks; Circuit simulation; Computational modeling; Computer architecture; Computer networks; Concurrent computing; Hardware; Microcomputers; Multilayer perceptrons; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Micro, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1732
  • Type

    jour

  • DOI
    10.1109/MM.2002.1013301
  • Filename
    1013301
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=772504