A Forecasting Method of Housing Price Index Based on Neural Network
Yichen Wan · Computer Development & Applications · 2014
Real estate is one of the important pillar industries of national economic development; therefore, it's significantly important to forecast the index of real estate prices in a reasonably scientific way. Collecting the data of housing price index of the main cities in China, and analyzing the data by using the SPSS Clementine software, this thesis aims to apply the neural network to the forecasting of housing price index. It turns out that the forecasting method is feasible and effective according to the experimental results.