Title :
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
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);
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
DOI :
10.1109/AIMSEC.2011.6010263
