摘要
生产过程中质量控制对提高产品质量具有重要的意义。本文对数据挖掘技术的概念及方法进行了简单的介绍,以挤塑产品生产过程中温度的多元回归预测挖掘为例介绍了数据挖掘技术在生产过程质量控制的应用,表明这种方法在实际应用中的正确性和有效性。
Quality control of the production process to improve the quality of products is of great significance. This paper focuses oq the concepts and methods of data mining technology brief introduction to multivariate regression to predict the temperature extrusioq production process mining as an example of data mining techniques introduced in the production process quality control applications, show1 that in the practical application of this method the validity and effectiveness.
出处
《价值工程》
2014年第16期216-218,共3页
Value Engineering
关键词
数据挖掘
质量控制
温度预测
data mining
quality control
temperature forecast
