• DocumentCode
    2133709
  • Title

    Fuzzy and Neural Network Method in Quality Identification of Building Structures

  • Author

    Zhong, Wei-Qiu ; Ren, Hui-Tao ; Dong, Ai-Ping ; Gang, Ming-Shu

  • Author_Institution
    Sch. of Civil Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on fuzzy mathematics theory, an estimation model for single and multi layer structure is presented to evaluate comprehensively the reliability of building structures. Meanwhile, the neural network technology is introduced to quality identification of concrete structural members in the present paper, which not only reduces the influence caused by human factors but also unites the standard of the examination criteria. The application of fuzzy mathematics and neural network realizes the attempt to introduce the artificial intelligence technology into the quality identification of civil engineering.
  • Keywords
    artificial intelligence; concrete; fuzzy set theory; neural nets; quality management; structural engineering computing; artificial intelligence technology; building structure; civil engineering; concrete structure; estimation model; fuzzy mathematic theory; human factor; neural network; quality identification; Artificial neural networks; Concrete; Mathematics; Neurons; Periodic structures; Reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5575559
  • Filename
    5575559