| 基于模糊聚类的RBF神经网络算法 |
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| 引用本文： | 平庆杰. 基于模糊聚类的RBF神经网络算法[J]. 工业计量, 2006, 16(6): 8-10 |
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| 作者姓名： | 平庆杰 |
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| 作者单位： | 东莞出入境检验检疫局,广东,东莞,513012 |
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| 摘 要： | 文章提出一种根据模糊聚类的思想来确定RBF神经网络隐层节点数,并用K-Means的聚类算法来训练RBF神经网络.并根据此算法进行仿真,并证明是有效的.
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| 关 键 词： | 模糊聚类 K-Means算法 RBF神经网络 |
| 文章编号： | 1002-1183（2006）06-0008-03 |
| 收稿时间： | 2005-12-25 |
| 修稿时间： | 2005-12-252006-04-27 |
RBF Neural Network Algorithm Based on the Fuzzy Clustering |
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| PING Qing-jie. RBF Neural Network Algorithm Based on the Fuzzy Clustering[J]. Industrial Measurement, 2006, 16(6): 8-10 |
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| Authors: | PING Qing-jie |
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| Affiliation: | Dong Guan Entry - Exit Inspection and Quarantine, Dongguan 513012, China |
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| Abstract: | A new method based on fuzzy clustering is presented to determine node number of hidden layer of RBF neural network. RBF neural network was trained by use of K-Means algorithm. Relationship between temperature and deformation of post in working process of gear-hobbing machine was predicted by the algorithm. Results prove that it is effective, |
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| Keywords: | fuzzy clustering K- Means algorithm RBF neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
