遗传(遗传算法)
数据挖掘
关联规则学习
匹配(统计)
计算机科学
特征(语言学)
人工智能
统计
数学
语言学
生物化学
基因
哲学
化学
作者
Dongmei Li,Feng Xiao,Yanjun Zheng
摘要
Summary In order to improve the ability of inheritance and protection of national sports, the association data mining model of inheritance and protection of national sports is proposed based on feature extraction of association rules. In this article, a new neural fuzzy normal form system is designed, which can perform both feature analysis and SI(sine) integration. The time series analysis model of the inheritance and protection correlation data in the national sports are constructed, the overall frame model of the inheritance and protection correlation data mining in the national sports is designed. The ability of adaptive data fusion and feature registration is improved. The simulation results show that the proposed method has good accuracy and strong ability of feature matching in the correlation data mining of inheritance and protection in national sports, and it can improve the function of inheritance and protection of national sports.
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