• DocumentCode
    1661629
  • Title

    Neurocomputing for large-scale design automation

  • Author

    Adeli, Hojjat

  • Author_Institution
    Coll. of Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    1995
  • Firstpage
    288
  • Lastpage
    291
  • Abstract
    The author and his associates have been working on creating novel design theories and computational models with two broad objectives: automation and optimization. The paper is a summary of research done by the author and his associates recently. Novel neurocomputing algorithms are presented for large scale design optimization. This research demonstrates how a new level is achieved in design automation through the ingenious use and integration of a novel computational paradigm, mathematical optimization, and new high performance computer architecture
  • Keywords
    design engineering; neural nets; optimisation; computational models; high performance computer architecture; large scale design automation; large scale design optimization; mathematical optimization; neurocomputing algorithms; novel design theories; Computer networks; Design automation; Design optimization; Large-scale systems; Lyapunov method; Neural networks; Shape; Steel; Transmission line matrix methods; Variable speed drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
  • Conference_Location
    Dunedin
  • Print_ISBN
    0-8186-7174-2
  • Type

    conf

  • DOI
    10.1109/ANNES.1995.499491
  • Filename
    499491