Studying on fiscal risk early-warning based on BP neural network

Author

Shi Sheng-an ; Li Bing-shui ; Xia Long

Author_Institution

Sch. of Humanities, North China Electr. Power Univ., Baoding, China

Volume

5

fYear

2010

fDate

27-29 March 2010

Firstpage

481

Lastpage

484

Abstract

As the Government´s macroeconomic regulation and control means, finance plays a significant role, but finance bears some certain risks. How to manage and prevent this risk is directly related to the survival and development of the whole country. This paper focuses on the combined model application research, fiscal risk early-warning based on principal component analysis and BP neural network. The objective of the paper is to offer an academic base to make a monitor and prediction system which is more scientific and practical.

Keywords

backpropagation; finance; government; macroeconomics; neural nets; principal component analysis; BP neural network; finance; fiscal risk early warning; government macroeconomic regulation; principal component analysis; Alarm systems; Economic indicators; Elasticity; Finance; Government; Information analysis; Macroeconomics; Neural networks; Principal component analysis; Risk analysis; BP neural network; early-warning; fiscal risk; principal component analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2010 2nd International Conference on

Conference_Location

Shenyang

Print_ISBN

978-1-4244-5845-5

Type

conf

DOI

10.1109/ICACC.2010.5487096

Filename

5487096