Research of Data Mining of Manufacturing Execution System in Collaborative Manufacturing Condition

被引：0

作者：

Zhou Yingjun ^{[1
]}

You Jianxin ^{[1
]}

机构：

[1] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China

来源：

2011 3RD WORLD CONGRESS IN APPLIED COMPUTING, COMPUTER SCIENCE, AND COMPUTER ENGINEERING (ACC 2011), VOL 2 | 2011年 / 2卷

关键词：

Genetic algorithm; regression forecasting; cutting tool durability;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In the paper, the necessity of data mining of manufacturing execution system was elaborated in collaborative manufacturing condition firstly, then the value of application of data mining was analyzed by three aspects. Improved genetic algorithm was designed for regression forecasting of cutting tool durability, then the higher validity of the algorithm is proved comparing with the least square method.

引用

页码：123 / 128

页数：6