摘要
介绍了蚁群算法基本原理,实验验证了蚁群聚类算法可用于轴承故障诊断,对比蚁群算法和BP神经网络在故障诊断中的不同,分析了蚁群算法在故障模式识别中的特点。
The basic principles of ant colony algorithm is introduced,and it is proved that the ant colony clustering algorithm can be used for bearing fault diagnosis through experiments,and the difference between ant colony algorithm and BP neural network in fault diagnosis is compared,and the characteristics of ant colony algorithm in fault pattern recognition is analyzed.
出处
《机械研究与应用》
2014年第6期15-17,共3页
Mechanical Research & Application
关键词
蚁群算法
BP神经网络
聚类分析
ant colony algorithm
BP neural network
clustering analysis
