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

ABSTRACT

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

Keywords:

BP neural network, Control of ore slurry concentration, Flotation process, Fuzzy control, Parameter optimization.