Nonlinear discrete system model of tobacco supply chain information

Abstract In order to understand the real environment and specific needs of China’s current tobacco industry, master signal information in supply chain, timely discover source this paper puts forward detection method anti-counterfeiting at chain. Based on this, article constructs a nonlinear discrete system model, which mainly studies logistics existing utilizes noise chain obtained by EKF filtering, combines it with Support vector machine data analysis method. The results showed that out 450 sample tests, 0 errors 1 misuse 49 false samples, total rate up 100% was achieved. show model is better, has higher effect source, improves accuracy.