THE APPLICATION OF BP NET AND RS THEORY IN THE ANALYSIS OF FLOTATION DATA

摘要

With the analysis of the flotation data of a mineral processing plant, after the brief review of the basic principles and characteristics of BP net and rough set theory, a new method is put forward, which is suitable for the nonlinear regression of the complex flotation data to get the explicit rules by making use of rough set theory to enrich the flotation data to get the law of flotation as a complementary tool of BP net, and then the crossed test can be made. This method is simpler than other methods such as establishing decision tree based on neural network and overcomes its limitation of the uncertainty of the established decision tree due to the uncertainty of the BP net architecture and reduces the risk of misunderstanding the data to analyze.