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Milling process is extremely important in mineral processing engineering technology, ball mill is the key equipment.Based on the characteristics of time-varying, nonlinear in ball mill system, proposed use the BEL(Brain Emotional Learning) forward model and inverse model identification of ball mill system, use the PSO parallel search the entire parameter space can efficiently make the parameter optimization, and given mathematical model identification algorithm of ball mill system.The simulation results show that the improved method can make the model output and the ball mill system output or input to achieve consistently,it have the characteristics of model identification error small, the algorithm simple.