| 基于神经网络的几种控制图表模式的识别研究 |
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| 引用本文： | 郑中玉,白雪,李宏光.基于神经网络的几种控制图表模式的识别研究[J].贵州工业大学学报(自然科学版),2008,37(1):63-67. |
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| 作者姓名： | 郑中玉 白雪 李宏光 |
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| 作者单位： | 北京化工大学,北京,100029 |
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| 摘 要： | 建立一个复合的神经网络模型,使其可以更精确的判断输入的控制图模式,同时利用该网络模型的再分类功能,可以减少判断不同模式时所造成的误判断.通过对各种模式的训练和仿真,表明该方法相对于传统方法有较大的优势.
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| 关 键 词： | 控制图 神经网络 模式识别 |
| 文章编号： | 1009-0193(2008)01-0063-05 |
| 修稿时间： | 2007年12月10 |
Research on Several Pattern Recognition for Control Chart Based on Neural Network |
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| ZHENG Zhong-yu,BAI Xue,LI Hong-guang.Research on Several Pattern Recognition for Control Chart Based on Neural Network[J].Journal of Guizhou University of Technology(Natural Science Edition),2008,37(1):63-67. |
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| Authors: | ZHENG Zhong-yu BAI Xue LI Hong-guang |
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| Institution: | ZHENG Zhong-yu,BAI Xue,LI Hong-guang (Beijing University of Chemical , Technology,Beijing 100029,China) |
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| Abstract: | This contribution is constructing a multiple neural network model,and enable it to recognize the control chart pattern more precisely,additionally,with its reclassification function,misjudges from different patterns would decrease.After training and emulation,it comes out that the method has great advantages upon the traditional ones. |
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| Keywords: | control chart neural network pattern recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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