Fuzzy neural network modeling and simulation of BBD ball mill

It is difficult to obtain the accurate operating model of BBD ball mill using the general empirical formula or regression analysis method.Through analyzing the structure,operation mechanism and relevant parameters of the BBD ball mill,a fuzzy neural network modeling method based on the Takagi-Sugeno structure was proposed for the BBD ball mill.The initial weight and threshold of the network were optimized using the particle swarm optimization algorithm.In the Matlab environment,this method exhibits the better simulation effect compared with the traditional modeling method by the non-linear equations.The simulation results prove the validity of the present model.