• DocumentCode
    3317707
  • Title

    BP-based intelligent case retrieval method of high-rise structure form selection

  • Author

    Shihai Zhang ; Liang, Xiushan ; Shujun Liu ; Jinping Ou

  • Author_Institution
    Dept. of Civil Eng., Nanyang Inst. of Technol.
  • Volume
    2
  • fYear
    2006
  • fDate
    3-6 Nov. 2006
  • Firstpage
    1418
  • Lastpage
    1422
  • Abstract
    Establishing a case retrieval algorithm is the key step of the high-rise structure intelligent form optimization (IFO) based on case based reasoning (CBR). First, analyzes the defects of the traditional case retrieval method (CRM) based on typical distance and the characteristics of architecture structure case retrieval, an improved BP-based intelligent CRM was established and the topological structure and algorithm of the neural network was presented. Next, based on four target cases and twenty-five source cases, the training and forecast of the improved BP-based case retrieval was provided. Finally, the engineering application was given. The result shows: this intelligent CRM can overcome such shortcomings as poor learning ability, low searching efficiency and intelligent level, etc., providing comparatively more scientific method for the CRM of high-rise structure IFO
  • Keywords
    backpropagation; case-based reasoning; information retrieval; neural nets; structural engineering computing; architecture structure; backpropagation; case based reasoning; high-rise structure form selection; intelligent case retrieval; intelligent form optimization; learning; neural network; Algorithm design and analysis; Artificial intelligence; Civil engineering; Floors; Intelligent networks; Intelligent structures; Libraries; Nearest neighbor searches; Neural networks; Optimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.295294
  • Filename
    4076200