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

被引：0

作者：

Huang Rui ^{[1
]}

Tang Zilong ^{[1
]}

Li Bin ^{[1
,2
]}

机构：

[1] Guangdong Univ Finance, Behav Finance & Reg Lab, Fu Rd 527, Guangzhou 510521, Guangdong, Peoples R China

[2] Guangdong Univ Finance, Guangzhou Key Res Bases Reg Financial Policy, Guangzhou, Guangdong, Peoples R China

来源：

PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON INNOVATIONS IN ECONOMIC MANAGEMENT AND SOCIAL SCIENCE (IEMSS 2017) | 2017年 / 29卷

关键词：

GDP; BP neural network; forecast; countermeasures;

D O I：

暂无

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

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.

引用

页码：972 / 981

页数：10