• DocumentCode
    478308
  • Title

    Evaluation of Index for Green Zoology Building and Its Definite Algorithm in Path Analysis

  • Author

    Ding, Qian ; Tong, Qiaoling ; Tong, Hengqing

  • Author_Institution
    Sch. of Urban Design, Wuhan Univ., Wuhan
  • Volume
    4
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    506
  • Lastpage
    510
  • Abstract
    With the need of scientific and rational evaluation mechanisms, green zoology building is the development trend of building construction. Based on the basic concept of the green zoology buildings with China´s national conditions, this paper discusses the index system of green zoology building and its calculation. The feature of the calculation is that the second level index is a virtual no observational data, and the summary coefficient is calculated in accordance with samples instead of the prior designated. In the view of the neural network structure, it is an unsupervised learning neural network. Making use of the method of path analysis and the combination of vector length constraint and the prescription constraint, a deterministic algorithm is established. Our algorithm can not only scientifically determine the summary coefficient but also calculate the relations between the indexes, so as to provide a comprehensive and profound analysis method of green building evaluation index system.
  • Keywords
    deterministic algorithms; environmental factors; neural nets; structural engineering computing; unsupervised learning; zoology; building construction; deterministic algorithm; evaluation index system; green zoology building; neural network; path analysis; prescription constraint; unsupervised learning; vector length constraint; Algorithm design and analysis; Environmental economics; Green buildings; Pollution; Power generation economics; Protection; Water conservation; Water storage; Windows; Zoology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.542
  • Filename
    4667335