Studying on Fiscal Risk Early-warning Based on BP Neural Network

被引：0

作者：

Shi Sheng-an ^{[1
]}

Li Bing-shui ^{[1
]}

Xia Long ^{[1
]}

机构：

[1] N China Elect Power Univ, Sch Humanities, Baoding, Peoples R China

来源：

2ND IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER CONTROL (ICACC 2010), VOL. 5 | 2010年

关键词：

fiscal risk; early-warning; principal component analysis; BP neural network;

D O I：

10.1109/ICACC.2010.5487096

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：481 / 484

页数：4

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