摘要
在现代工业生产过程中,如何从实际生产过程中提取出有用的规则,用于调整控制生产是过程控制中一个难题。文章提出了一种基于粗糙集的过程控制规则挖掘算法,可以较大的降低计算复杂度,并将算法用于实际烟草制丝生产线的关联规则提取,得到了可用于实际生产过程控制的规则。
In the process of modem produce, it is a difficult problem how to get the useful roles from the real produce to adjust the control of the product line. The article brings out an algorithm based on rough set for process control rules mining, and it can reduce the complexity of calculation. And we use this algorithm to distill the rules from the parameter of tobacco strip product line, and get the useful roles that can guide the producing.
出处
《微电子学与计算机》
CSCD
北大核心
2006年第6期84-87,共4页
Microelectronics & Computer
关键词
粗糙集
属性约简
属性值约简
规则提取
Rough set, Attribute reduction, Value reduction, Rules mining