• DocumentCode
    278009
  • Title

    Object oriented design methodologies for the implementation of artificial neural networks

  • Author

    Whittington, G. ; Spracklen, C.T.

  • Author_Institution
    Dept. of Eng., Aberdeen Univ., UK
  • fYear
    1991
  • fDate
    33309
  • Firstpage
    42583
  • Lastpage
    42586
  • Abstract
    Examines the effectiveness of applying object-oriented programming (OOP) methodologies to the synthesis and implementation of artificial neural networks (ANN). Included in the discussion are the range of potential mappings between OOP and ANN methodologies, OOP based development environments for ANN, and OOP based ANN description languages. The effectiveness of each of these strategies and their effect upon the development cycle is explored. The run-time performance penalties incurred by using object-oriented languages and systems is reported and includes a summary of experimental results
  • Keywords
    neural nets; object-oriented programming; artificial neural networks; description languages; design methodologies; development cycle; object-oriented programming; potential mappings; run-time performance penalties; synthesis;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Neural Networks: Design Techniques and Tools, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    181074
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=278009