摘要
在粗糙集理论与神经网络结合的故障诊断方法中,当故障诊断系统中条件属性的个数较多时,可采用一种先分块建立决策表再约简的方法。笔者对该方法的可行性和算法的时间复杂度进行了分析,结果证明,分块建立决策表是可行的,可以降低约简的复杂度,从而缩短约简工作的时间。
In the fault diagnosis method with combination of rough sets theory and ANN, when there are many condition attributes in the fault diagnosis system, a strategy of establishing the partitioning decision tables then reduction is adopted. In this paper, the feasibility and time complexity analysis are given. The result shows the method is feasible, and it can make reduction simplify and shorten working time.
出处
《太原理工大学学报》
CAS
北大核心
2005年第2期207-210,共4页
Journal of Taiyuan University of Technology
关键词
分块
决策表
粗糙集
神经网络
故障诊断
partitioning
decision table
rough sets
ANN
fault diagnosis
