Economic Forecast of the Southern China on BP Neural Network--- Taking Chongqing as an Example

DOI

10.2991/aebmr.k.210319.114How to use a DOI?

Keywords

Economic Forecasting, BP Neural Network, Principal Component Analysis, Regional Economic Differentiation

Abstract

Based on the good economic development trends in Chongqing in recent years, the large changes in GDP increments of the subordinate districts and counties, and the gradual attention paid to the characteristics of regional economic regions. This article used the idea of sampling to establish comprehensive economic development indicators. The back propagation neural network model of comprehensive economic development can accurately predict the overall economic development of Chongqing and southern regions in the next five years, and explore its correlation with the overall economic development of the country. Through the application of principal component analysis and dimensionality reduction time series analysis, it fits the relationship between the comprehensive indicator data of Chongqing area from 2000 to 2019 obtained from the National Bureau of Statistics, financial reports and annual reports so as to carry out model training, analysis and prediction. The conclusion from this passage has strong universality in the current situation of regional economic differentiation and commonality. After the promotion and establishment of a mechanism to obtain a regional economic overview by sampling representative cities in various regions, it will greatly promote the formulation and modification of macroeconomic policies.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenke Du
AU  - Jing Ge
AU  - Shidong Sun
PY  - 2021
DA  - 2021/03/22
TI  - Economic Forecast of the Southern China on BP Neural Network--- Taking Chongqing as an Example
BT  - Proceedings of the 6th International Conference on Financial Innovation and Economic Development (ICFIED 2021)
PB  - Atlantis Press
SP  - 614
EP  - 618
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210319.114
DO  - 10.2991/aebmr.k.210319.114
ID  - Du2021
ER  -