• DocumentCode
    509442
  • Title

    Improved PP Model for Real Estate Investment Evaluation

  • Author

    Zhou Shujing ; Li Yancang ; Suo Juanjuan

  • Author_Institution
    Coll. of Civil Eng., Hebei Univ. of Eng., Handan, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-14 Dec. 2009
  • Firstpage
    352
  • Lastpage
    354
  • Abstract
    The methods of the real estate investment evaluation used today usually fail to solve the high-dimension data. To overcome this shortcoming, an improved PP model was proposed. The method evaluates the merits of the investment programs, according to the size of the projector function by using the Projection Pursuit method. The ant colony algorithm was applied to finish the global optimization. The efficiency was verified with an example.
  • Keywords
    investment; optimisation; PP model; ant colony algorithm; projection pursuit method; real estate investment evaluation; Ant colony optimization; Civil engineering; Computational intelligence; Data analysis; Data engineering; Decision making; Design engineering; Educational institutions; Electronic mail; Investments; PPC model; Real estate investment; ant colony algorithm; model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-0-7695-3865-5
  • Type

    conf

  • DOI
    10.1109/ISCID.2009.96
  • Filename
    5370388