A Perdition Study on the Guangdong Province GDP Based on BP Neural Network

DOI

10.2991/iemss-17.2017.186How to use a DOI?

Keywords

GDP; BP neural network; forecast; countermeasures

Abstract

The changes of GDP continue to increase in China since 2007. Therefore, it is going to use the National Bureau of Statistics Data, which takes the application of BP neural network with momentum of the points, carries on the forecast to the Guangdong Province GDP. The conclusion shows that BP neural network can predict the Guangdong Province GDP healthy, and it is going to propose some policy suggestions.

Copyright

© 2017, 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/).

Download article (PDF)

TY  - CONF
AU  - Rui Huang
AU  - Zilong Tang
AU  - Bin Li
PY  - 2017/04
DA  - 2017/04
TI  - A Perdition Study on the Guangdong Province GDP Based on BP Neural Network
BT  - Proceedings of the 2017 International Conference on Innovations in Economic Management and Social Science (IEMSS 2017)
PB  - Atlantis Press
SP  - 972
EP  - 981
SN  - 2352-5428
UR  - https://doi.org/10.2991/iemss-17.2017.186
DO  - 10.2991/iemss-17.2017.186
ID  - Huang2017/04
ER  -