Research on Regional Economic Development Difference Forecast Based on BP Neural Network

Abstract

The problem of unbalanced economic development in the east and west of China and the big difference in regional economic development is becoming more and more prominent. As a classical algorithm in artificial intelligence, BP neural network has great advantages in mining the intrinsic relation of sequence data and trend prediction. This article is based on the GDP and GDP per capita statistical data of 31 national provinces from 2000 to 2017 , utilizing the variation coefficient method as the measure index of the regional development difference, and then using the BP neural network model, to establish the forecast model of regional economic development differences, analyze and forecast differences in regional economic development in China in the future, the change rule of the forecast results show that: the regional economic development difference of China's GDP and per capita GDP will increase slightly in the next five years , and the differences changing rate of GDP is larger than per capita GDP , but both gradually stabilized.