| 基于神经网络的质量控制图自动识别技术的研究 |
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| 引用本文： | 高清 陈平. 基于神经网络的质量控制图自动识别技术的研究[J]. 哈尔滨工业大学学报, 1995, 27(6): 121-124 |
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| 作者姓名： | 高清 陈平 |
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| 摘 要： | 将人工神经网络技术用于质量控制图的异常趋势识别，采用反向传播算法（ＢＰ算法）训练的神经网络能够很好地识别控制图中点子逐渐上升／下降、突然上升／下降、循环变化等异常趋势。
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| 关 键 词： | 神经网络 模式识别 质量控制图 BP算法 自动识别 |
Artificial Neural Networks for the Identification of Quality Control Charts |
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| Gao Qing,Chen Ping,Ma Yulin. Artificial Neural Networks for the Identification of Quality Control Charts[J]. Journal of Harbin Institute of Technology, 1995, 27(6): 121-124 |
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| Authors: | Gao Qing Chen Ping Ma Yulin |
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| Affiliation: | Advsnced Manufacturing Technology Center |
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| Abstract: | Back propagation artificial neural networkds are used to identify unnatural patternson quality control charts. These unnatural patterns, such as trend, sudden shift and cycle, whichare very difficult to be identified by normal algorithms, can be quirkly identified by a trainedneural network. |
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| Keywords: | Artificial neural networks statistical process control quality control pattern recognition |
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