• DocumentCode
    2693211
  • Title

    Semantic and logic theories in neuron networks

  • Author

    Sugiyama, Shigeki

  • Author_Institution
    Gifu Prefectural Metal Res. Inst., Seki City, Japan
  • Volume
    3
  • fYear
    1994
  • fDate
    2-5 Oct 1994
  • Firstpage
    2447
  • Abstract
    There have appeared many types of neural network systems, for use in fields in which their use was not previously imaginable. The applications have been expanding more and more. Some neural networks are connected with fuzzy logic systems and some of them are used in a part of a controlling system. Even though, there still remains the area which is not so expanded in theoretically and applicationally, which is a semantic and logic area in neural networks. So, on this paper, expressions of system of logic in neural networks and its applications have been studied. And some theories have been proved on this matter
  • Keywords
    fuzzy logic; fuzzy neural nets; fuzzy logic systems; logic theories; neural network; semantic theories; Bidirectional control; Cities and towns; Control systems; Formal languages; Fuzzy logic; Intelligent networks; Neural networks; Neurons; Stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1994. Humans, Information and Technology., 1994 IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-2129-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.1994.400234
  • Filename
    400234