| 一种新的加热炉状态识别算法 |
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| 引用本文： | 李擎,郑德玲,孟文博,童新海,谢四江.一种新的加热炉状态识别算法[J].北京科技大学学报,2002,24(3):364-368. |
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| 作者姓名： | 李擎 郑德玲 孟文博 童新海 谢四江 |
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| 作者单位： | 1. 北京科技大学信息工程学院,北京,100083;2. 北京电子科技学院,北京,100039 |
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| 基金项目： | 国家自然科学基金;69372031; |
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| 摘 要： | 最小距离法是一种应用非常广泛的状态识别算法,但其在使用过程巾要求待识别样本必须符合类内距离较小、类间距离较大这一前提条件,否则将会造成识别错误.针对最小距离法存在的问题,提出了一种基于人工神经网络的改进最小距离法,并将该方法应用于加热炉工况的状态识别.结果表明,该方法具有识别速度快、识别率高的优点,完全能够满足工业生产过程的需要.
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| 关 键 词： | 状态识别 最小距离法 人工神经网络 |
| 修稿时间： | 2001年6月4日 |
A New kind of Algorithm for State Recognition of Heating Furnace |
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| LI Qing,ZHENG Deling,MENG Wenbo,TONG Xinhai,XIE Sijiang.A New kind of Algorithm for State Recognition of Heating Furnace[J].Journal of University of Science and Technology Beijing,2002,24(3):364-368. |
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| Authors: | LI Qing ZHENG Deling MENG Wenbo TONG Xinhai XIE Sijiang |
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| Abstract: | MDM(Minimum Distance Method) is a very familiar algorithm in state recognition. But it has a presupposition, that is, the distance within one class is short and the distance between classes is long. When this presupposition is not satisfied, a mistake is made. In order to overcome the shortcomings of MDM, an im-proved minimum distance method based on ANN(Artificial Neural Networks) is presented. The simulation re-sults demonstrate that this method has two advantages, that is, the rate of recognition is fast and the accuracy of recognition is high. |
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| Keywords: | state recognition minimum distance method artificial neural networks |
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