Product quality prediction based on bp neural network and rough set theory

Abstract

Product quality is critical to the survival and development of enterprises. Quality prediction is an important step in the field of quality control. In this paper, based on the study of BP neural network and rough set theory, the data mining model and algorithm for the combination of BP neural network and rough set theory are designed to give full play to their advantages and overcome the existing problems. Combined with the actual manufacturing process of an enterprise, algorithm solution and simulation analysis are carried out to verify the feasibility of the method and improve the accuracy of product quality prediction.