Nonlinear function learning and classification using optimal radial basis function networks

被引：0
|
作者：
Krzyzak, A [1 ]
机构：
[1] Concordia Univ, Dept Comp Sci, Montreal, PQ H3G 1M8, Canada
来源：
MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION | 2001年 / 2123卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We derive optimal radial kernel in the radial basis function network applied in nonlinear function learning and classification.
引用
收藏
页码：217 / 225
页数：9
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