• DocumentCode
    301360
  • Title

    Intelligent engineering-its application

  • Author

    Hu, Zhaoguang

  • Author_Institution
    Sch. of Eng., MARA Inst. of Technol., Selangor, Malaysia
  • Volume
    1
  • fYear
    1995
  • fDate
    22-25 Oct 1995
  • Firstpage
    609
  • 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 certainly one thing in common. They all attempt to make computer duplicate the behaviors of human intelligence, i.e. the goal of AI NN and FS is to produce intelligent machines. However, with different methodologies, the three techniques are performed with advantages and limitations respectively. The main idea of the paper is to combine all of the three techniques together, it will be called as intelligent engineering (IE), to share the advantages and avoid the limitations in solving the engineering problems. The conception of IE and other definitions have been defined and a case study on electrical load forecasting to show the powerfulness of IE is also given in this paper
  • Keywords
    engineering; engineering computing; fuzzy systems; knowledge based systems; neural nets; artificial intelligence; electrical load forecasting; fuzzy systems; intelligent engineering; neural networks; Application software; Area measurement; Artificial intelligence; Artificial neural networks; Fuzzy systems; Humans; Load forecasting; Machine intelligence; Neural networks; Power engineering and energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-2559-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1995.537830
  • Filename
    537830