Feature Selection Using Radial Basis Function Networks

被引：0
|
作者：
J. Basak
S. Mitra
机构：
[1] Machine Intelligence Unit,
[2] Indian Statistical Institute,undefined
[3] Calcutta,undefined
[4] India,undefined
来源：
Neural Computing & Applications | 1999年 / 8卷
关键词：
Keywords:Feature evaluation index ; Feature selection; Radial Basis Function network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A new method of feature selection using a Radial Basis Function network is described. The parameters of the radial basis function network, in general, form a compact description of class structures. The intraclass and interclass distances are expressed in terms of the parameters of the trained network, and two different feature evaluation indices are derived from these distances. The effectiveness of the algorithm is demonstrated on Iris and speech data, and a comparative study is provided with several existing techniques.
引用
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页码：297 / 302
页数：5
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