Analysis of public and industrial building area data of China based on Taylor-series neural network method (2)

Systematically sorts the relevant indexes of urban and rural public and industrial building area in the statistical yearbooks of China. Calculates the urban public and industrial building area from 2001 to 2014 using the Taylor-series neural network method and obtains the rural public building area using the linear fitting method, which solves the problems of incomplete time series data and inconsistent statistical caliber in the existing statistical yearbook, providing data support for further study on building energy consumption statistic of China.