A new algorithm of selecting the radial basis function networks center

被引：0
|
作者：
Wang, HR [1 ]
Wang, HB [1 ]
Wei, LX [1 ]
Li, Y [1 ]
机构：
[1] Yanshan Univ, Dept Elect Engn, Qinhuangdao, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
RBF center; fuzzy c-mean algorithm; k - nearest-neighbor algorithm; simulations;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The selecting of the radial basis function center is a key, factor that influences the performance of network. In this paper we first introduce fuzzy c-mean algorithm and k-nearest-neighbor algorithm. as to the. selection of the radial basis function center briefly, and then we present a delta - nearest-neighbor cluster algorithm, which combines, k-nearest-neighbor algorithm with fuzzy c-mean algorithm. in the end we demonstrate performance results for dynamic system identification via simulations.
引用
收藏
页码：1801 / 1804
页数：4
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