A Neural Network Forecasting Model of Beijing Commercial Building Price Based on Set Pare Analysis

摘要

By applying neural networks to forecasting Beijing commercial building price, sequencing the principal factors and analyzing the development trend using connection number and partial connection number of the set pair analysis (SPA), we set up the forecasting model of Beijing commercial building price. The instance analysis shows that it is a scientific and suitable system analyzing method of high forecasting accuracy.