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
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;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.96
