Research on Application of an Optimized Method though Self-learningFuzzy Neural Network for Ore Slurry Concentration in Flotation Process

摘要

Feed concentration directly affects the recovery of mineral resources in flotation process, which is an importantmethod of separating fine-grained mineral. Due to complicated process and mechanism of thickener, the control effect ispoor with the traditional control method under the condition of time-varying process parameters. Fuzzy control and BPneural network are combined with together in this paper, then we propose a optimization method though self-learningfuzzy neural network, and solved the problem of optimal controlling for the system with variable parameters. Applied tothe production process of thickener, the result of instance simulation shows that it can elegantly solve the problem of controllingthe ore concentration.