screen length, inclination angle, vibration amplitude, and vibration frequency was analyzed. Based on the experiments, least square support vector machine (LS-SVM) was established to predict the sieving e ciency, and adaptive genetic algorithm and cross-validation algorithm were used to optimize the parameters in LS-SVM.
Hot Crushers Brief Introduction
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