DocumentCode :
2678799
Title :
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
Link To Document :
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