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
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;
Conference_Titel :
Modelling, Simulation and Optimization, 2008. WMSO '08. International Workshop on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3484-8
DOI :
10.1109/WMSO.2008.40
