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The generalized rule induction algorithm has become an important tool for the automatic classification of the national folk music. The process of the automatic classification of the Chinese national folk music from the perspective of Mooc is in fact a multi-objective optimization problem. In order to improve the speed of the automatic classification of the national folk music, a kind of automatic classification method for the Chinese folk music from the perspective of Mooc that is dependent on the generalized rule induction algorithm is put forward in this paper. Firstly, the generalized rule induction algorithm is used to process the data information of the Chinese folk music, and then greedy iteration is carried out to search for the national folk music of the same type. Experimental simulation and comparison with the standard induction algorithm and the particle algorithm are carried out. The results verify that the automatic classification method of the Chinese folk music that is dependent on the generalized rule induction algorithm has more superior classification effect.
Qili Guo (Sat,) studied this question.