National and provincial residential building area data analysis and driving factor model based on statistical yearbook

Based on the statistical yearbook, predicts the national and provincial macroscopic residential building area data from 2001 to 2015 using the Taylor series neural network method. The research shows that the average annual growth rate of urban residential building area is much higher than that of rural area, the total amount of residential building area at provincial level is positively correlated with GDP, and the ratio of urban residential building area to total residential building area is positively correlated with the urbanization rate. Establishes a national and provincial residential building area prediction model when GDP is selected as a driving factor. The result shows the small relative deviation of the model, which verifies the rationality of the model.