• DocumentCode
    3124157
  • Title

    Intelligent space

  • Author

    Hu, Zhaoguang

  • Author_Institution
    Electr. Power Res. Inst., Beijing, China
  • Volume
    3
  • fYear
    1999
  • fDate
    22-25 Aug. 1999
  • Firstpage
    1621
  • Abstract
    Artificial intelligence (AI), neural networks (NN) and fuzzy systems (FS) have been studied in parallel and have had a measures of success in many areas in the past few decades. AI, NN and FS have one thing in common, they all attempt to make the computer duplicates the behaviors of human´s intelligence, i.e., their goal is to produce intelligent machines. However, with different methodologies, the three techniques are performing with advantages and limitations respectively. The main idea of the intelligent engineering (IE) is to combine all of the techniques together to share the advantages and avoid the limitations in solving engineering problems. The concept of IE and other definitions have been defined and studied in the author´s previous papers (1995, 1997). In this paper, an intelligent space is defined and the theoretical approaches of IE are studied in the intelligent space. The effectiveness of IE is proved in this paper.
  • Keywords
    artificial intelligence; engineering computing; fuzzy set theory; fuzzy systems; knowledge representation; neural nets; artificial intelligence; fuzzy set theory; fuzzy systems; intelligent engineering; intelligent space; knowledge representation; neural networks; Area measurement; Artificial intelligence; Artificial neural networks; Expert systems; Fuzzy systems; Humans; Intelligent systems; Machine intelligence; Neural networks; Power engineering and energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
  • Conference_Location
    Seoul, South Korea
  • ISSN
    1098-7584
  • Print_ISBN
    0-7803-5406-0
  • Type

    conf

  • DOI
    10.1109/FUZZY.1999.790147
  • Filename
    790147