Analysis of residential building area data of China based on Taylor-series neural network method

Analyses the floor area data of residential buildings in China statistical yearbook, including the statistical data range, data source, effective statistical year. Determines the correlation of main factors such as total floor area of each year, completed floor area and floor area per capita of residential buildings and so on. Adopts Taylor-series neural network method and exponential linear trend extrapolation method to calculate the time series floor area of urban and rural residential buildings of 2001 to 2014, respectively. On the basis, analyses the influence of GDP on floor area of residential buildings.