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

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.