DocumentCode
2441601
Title
Evaluation model for Real Estate Investment Environment Based on SVM
Author
Zhou Shu-jing ; Cao Li-mei ; Li Yan-cang
Author_Institution
Coll. of Civil Eng., Hebei Univ. of Eng., Handan
fYear
2008
fDate
27-28 Dec. 2008
Firstpage
192
Lastpage
195
Abstract
The environment is the key to the success of real estate investment. Therefore, it is very important for the investment environment evaluation of real estate. Firstly, the basic theory of support vector machine for regression (SVR) was introduced, and then a SVM to evaluate the investment environment of real estate was built. Through simulating and comparing with the method of BP neural network, the method is proved effectiveness.
Keywords
backpropagation; investment; neural nets; real estate data processing; support vector machines; BP neural network; evaluation model; real estate investment environment; support vector machine for regression; Fuzzy neural networks; Fuzzy systems; Investments; Load forecasting; Neural networks; Pattern analysis; Pattern recognition; Support vector machines; Time series analysis; Weather forecasting; Evaluation; Investment environment; Real estate; SVM;
fLanguage
English
Publisher
ieee
Conference_Titel
Modelling, Simulation and Optimization, 2008. WMSO '08. International Workshop on
Conference_Location
Hong Kong
Print_ISBN
978-0-7695-3484-8
Type
conf
DOI
10.1109/WMSO.2008.40
Filename
4756987
Link To Document