摘要
控制图是统计质量控制的重要工具,对控制图的状态进行诊断及识别其异常模式尤为重要。本文将介绍两种控制图异常模式识别方法:基于判别准则的异常模式识别和基于人工神经网络的异常模式识别。
Control chart is the means of statistic quality control. Diagnosing the condition of control chart and discerning unusual model of control chart is very important. This paper is about introducing two ways of discerning unusual model of control chart: one is the ways of discerning unusual model of control chart on the basis of discrimination standard, the other is on the basis of artificial neural nets.
出处
《科技创新导报》
2009年第28期24-25,共2页
Science and Technology Innovation Herald
关键词
控制图
判别准则
人工神经网络
control chart
discrimination standard
artificial neural nets