BP neural network based two-dimensional code anti-counterfeiting prediction apparatus and method

The invention discloses a BP neural network based two-dimensional code anti-counterfeiting prediction apparatus and method. The apparatus comprises the following elements connected in succession based on the flow direction of signals: a data accessing module for accessing the product data to establish an anti-counterfeiting database, a scanning module for acquiring the data by scanning, a data analyzing module for calling the anti-counterfeiting database to process and analyze the data acquired by scanning and for obtaining the attribute characteristic constant of the product, a learning training module to establish a BP neural network algorithm, and an algorithm application module for using the BP neural network algorithm to conduct anti-counterfeiting prediction to the scanned product. With the method, a consumer firstly scans the two-dimensional code to determine whether the product is a real one or not before he or she decides to purchase it. In this way, the defect can be overcome that a consumer must purchase the product first before scanning the product.