| CBR技术在故障诊断中的改进 |
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| 引用本文： | 汪诚,李应红,张恒喜.CBR技术在故障诊断中的改进[J].计算机工程与应用,2003,39(15):44-46. |
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| 作者姓名： | 汪诚 李应红 张恒喜 |
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| 作者单位： | 空军工程大学工程学院,西安,710038 |
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| 摘 要： | 该文针对基于事例推理(CBR)方法中相似性度量公式(匹配函数)在故障诊断领域应用中存在的问题进行了研究。提出了事例特征分量距离的分区度量方法,以及局部权系数的神经网络迭代算法,并将其用于K-最近邻算法中,显示了该算法的优越性。
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| 关 键 词： | 基于事例的推导 相似性度量 K-最近邻算法 |
| 文章编号： | 1002-8331-(2003)15-0044-03 |
| 修稿时间： | 2003年2月1日 |
The Improvment in the Case Based Resoning of Falut Diagnosis |
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| Wang Cheng Li,Yinghong Zhang Hengxi.The Improvment in the Case Based Resoning of Falut Diagnosis[J].Computer Engineering and Applications,2003,39(15):44-46. |
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| Authors: | Wang Cheng Li Yinghong Zhang Hengxi |
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| Abstract: | The paper researches the similarity measure formula in case based reasoning technology used in fault diagnosis field.It displays a methd to measure the distance between two cases features vector and based on zone and local weight neural network algorithm.Then it is used in the K-nearest neighbour algorithm in which its superiority is exposed. |
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| Keywords: | Case based reasoning Similarity measures K-nearest neighbour |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
