RESEARCH ON THE EARLY WARNING SYSTEM OF INDUSTRIAL SECURITY BASED ON APCA & BPNN

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.

关键词： industrial security warning system processing of index

作者: Wang Peizhi Liu Xinying Li Hong

作者单位: School of International Economics and Trade, Shandong University of Finance, Jinan, China

会议类型: 国际会议

会议名称: 2007年技术创新、风险管理暨供应链管理国际研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-11-01（万方平台首次上网日期，不代表论文的发表时间）