• DocumentCode
    1418612
  • Title

    Application of fuzzy logic in power systems. II. Comparison and integration with expert systems, neural networks and genetic algorithms

  • Author

    Song, Yong-hua ; Johns, Allan T.

  • Author_Institution
    Dept. of Electr. Eng., Brunel Univ., Uxbridge, UK
  • Volume
    12
  • Issue
    4
  • fYear
    1998
  • Firstpage
    185
  • Lastpage
    190
  • Abstract
    For pt.I see ibid., vol.11, no.5,p.219-22 (1997). The first tutorial gave a general introduction to fuzzy logic and explained why fuzzy logic is needed. This second tutorial examines the comparison and integration with other intelligent techniques: expert systems, artificial neural networks, fuzzy systems, and evolutionary programming. The authors then discuss the following hybrid systems: fuzzy expert systems, neural expert systems, fuzzy neural networks, neuro-fuzzy systems, and genetic algorithm neural networks.
  • Keywords
    fuzzy logic; artificial neural networks; evolutionary programming; expert systems; fuzzy expert systems; fuzzy logic; fuzzy logic application; fuzzy neural networks; fuzzy systems; genetic algorithm neural networks; genetic algorithms; neural expert systems; neural networks; neuro-fuzzy systems; power systems;
  • fLanguage
    English
  • Journal_Title
    Power Engineering Journal
  • Publisher
    iet
  • ISSN
    0950-3366
  • Type

    jour

  • DOI
    10.1049/pe:19980403
  • Filename
    709363
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1418612