Studying on Fiscal Risk Early-warning Based on BP Neural Network
As the Governments 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.
fiscal risk early-warning principal component analysis BP neural network
SHI Sheng-an LI Bing-shui XIA Long
School of Humanities North China Electric Power University Baoding,PR.China
国际会议
The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)
沈阳
英文
481-484
2010-03-27(万方平台首次上网日期,不代表论文的发表时间)