|
|||||
|
|
| 基于递推k-均值聚类算法的RBF神经网络及其在系统辨识中的应用 | |
| 引用本文： | 李鑫滨,杨景明,丁喜峰. 基于递推k-均值聚类算法的RBF神经网络及其在系统辨识中的应用[J]. 燕山大学学报, 1999, 0(4) |
| 作者姓名： | 李鑫滨 杨景明 丁喜峰 |
| 作者单位： | 燕山大学电气工程院!秦皇岛０６６００４ |
| 摘 要： | 提出了一种基于ｋ－均值聚类算法的ＲＢＦ神经网络递推快速学习算法，并用此对动态非线性过程进行辩识。仿真结果表明了本文方法的可行性。 |
| 关 键 词： | 神经网络 聚类算法 辩识 |
RBF Neural Networks Based on Recursive k-means Clustering Algorithm and Its Application to Identification |
|
| Li Xinbin. RBF Neural Networks Based on Recursive k-means Clustering Algorithm and Its Application to Identification[J]. Journal of Yanshan University, 1999, 0(4) | |
| Authors: | Li Xinbin |
| Abstract: | This paper proposes a fast learning algorithm based on recursive k-means clustering algorithm for the RBF neural networks.The method is also used for the identification of dynamics non-linearprocess. The simulation shows that the new algorithm is very effective. |
| Keywords: | neural networks clustering algorithms identification. |
| 本文献已被 CNKI 等数据库收录！ | |