Data Mining and Simulation Analysis of Aircraft Control System Based on Apriori Algorithm

被引:0
|
作者
Xu Qian [1 ]
Yang Kai [1 ]
Ban Ya [1 ]
Lu Kunfeng [1 ]
Zhao Yao [1 ]
Gong Qinghai [1 ]
机构
[1] Beijing Aerosp Automat Control Inst, Beijing 100854, Peoples R China
关键词
Aerocraft; Attitude control; Apriori; Simulation analysis;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data mining is one of the hot issues in the field of database research in recent years. Association rules analysis is one of the key technologies in data mining. Apriori algorithm is one of the main algorithms of association analysis, which is mainly used to find all the frequent itemsets in the database, and then generates association rules by frequent itemsets. This article intelligently handles a large number of aircraft control system experimental data, useing apriori algorithm as the experimental data analysis technique, mining association rules from a large amount of experimental data, and extracting design experience that facilitates judgment and comparison, to improvie the efficiency and speed of control system design. Through simulation analysis, the results show that data mining of aircraft control system based on apriori algorithm is effective.
引用
收藏
页数:6
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