The maturity empirical evaluation of real estate investment environment based on support vector machine

Author

Jie, Zhang ; Yueyao, Sun ; Yaping, Zhang

Author_Institution

Dept. of Econ., Shandong Univ., Jinan, China

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

800

Lastpage

803

Abstract

The environment maturity is the key factor for the success of real estate investment. It is also the success´s basis and premise of real estate investment projects, therefore, it is very important significant for the maturity evaluation of the real estate investment environment. Based on the theory of support vector machine regression, the maturity evaluation model is constructed of real estate investment environment in the paper, and the model is simulated with many sample data, then the training results of the model were compared with those of BP neural network, the results of comparison show that the validity of the method is proved.

Keywords

backpropagation; investment; neural nets; real estate data processing; regression analysis; support vector machines; BP neural network; environment maturity; maturity empirical evaluation; real estate investment environment; support vector machine regression; Economics; Equations; Indexes; Investments; Kernel; Support vector machines; Training; investment environment; maturity evaluation; real estate; support vector machine (SVM);

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Conference_Location

Deng Leng

Print_ISBN

978-1-4577-0535-9

Type

conf

DOI

10.1109/AIMSEC.2011.6010263

Filename

6010263