Research on the early warning system of industrial security based on APCA & BPNN

被引：0

作者：

Wang Peizhi ^{[1
]}

Liu Xinying ^{[1
]}

Li Hong ^{[1
]}

机构：

[1] Shandong Univ Finance, Sch Int Econ & Trade, Jinan, Peoples R China

来源：

TIRMDCM 2007: PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON TECHNOLOGY INNOVATION, RISK MANAGEMENT AND SUPPLY CHAIN MANAGEMENT, VOLS 1 AND 2 | 2007年

关键词：

industrial security; warning system; processing of index;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Since the Post-transition period of China's WTO entry is coming to an end, more attention is drawn to industrial security in China. Focusing on the feasibility of PCA and BP neural network applications to early warning of industrial security and the analysis of BP neural network's rationale, we establish an early warning system of industrial security by utilizing PCA and the back-propagation neural network. In this context, we have implemented the data from high-tech industries in China to examine the validity of this early warning system. As a result, the applications of PCA and BP neural network to early warning of industrial security are feasible and the proposed early warning system of industrial security is effective.

引用

页码：262 / 267

页数：6

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