| 基于神经网络的控制图状态诊断方法研究 |
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| 引用本文： | 彭晓楠.基于神经网络的控制图状态诊断方法研究[J].科技咨询导报,2009(28):24-25. |
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| 作者姓名： | 彭晓楠 |
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| 作者单位： | 桂林电子科技大学,广西桂林,541004 |
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| 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。本文将介绍两种控削图异常模式识删方法：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。
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| 关 键 词： | 控制图 判别准则 人工神经网络 |
Study on the Methods of Condition Diagnosis of Control Chart |
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| PENG Xiao-nan.Study on the Methods of Condition Diagnosis of Control Chart[J].Science and Technology Consulting Herald,2009(28):24-25. |
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| Authors: | PENG Xiao-nan |
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| Institution: | PENG Xiao-nan HAN Dong ( Guilin University of Electronic Technology,Guilin 541004 China) |
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| Abstract: | 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. |
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| Keywords: | control chart discrimination standard artificial neural nets |
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