| 基于模糊距离的BP网络板形信号模式识别的研究 |
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| 摘 要： | 介绍了一种新的板形信号模式识别方法 .该方法基于待识别信号与标准样本之间的模糊距离 ,并将模糊距离作为 BP网络的输入 ,有效地解决了在板材宽度变化时神经网络的拓扑结构形式不变的问题
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| 关 键 词： | 模式识别 模糊距离 板形控制 神经网络 |
A Study on Pattern Recognition of Flatness Signal Via BP Neural Network Based on Fuzzy Distance |
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| Wang Hongrui Guo Tanghe Song Weigong Electricity Engineering Insitituty. A Study on Pattern Recognition of Flatness Signal Via BP Neural Network Based on Fuzzy Distance[J]. Journal of Yanshan University, 1997, 0(4) |
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| Authors: | Wang Hongrui Guo Tanghe Song Weigong Electricity Engineering Insitituty |
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| Affiliation: | Wang Hongrui Guo Tanghe Song Weigong Electricity Engineering Insitituty |
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| Abstract: | A new method of the pattern recognition of the flatness signal is presented. Based on the fuzzy distance, which is the input of BP neural network, between the signal to be recognized and the standard patterns, the method solve effectively the problem of keeping the topological structure unchanged when the strip width is changeable. |
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| Keywords: | pattern recognition fuzzy distance shape control neural network. |
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