RBF neural networks for classification using new kernel functions

被引：0

作者：

Bozdogan, H ^{[1
]}

Liu, ZQ ^{[1
]}

机构：

[1] Univ Tennessee, Dept Stat, Knoxville, TN 37996 USA

来源：

COMPUTATIONAL INTELLIGENCE AND APPLICATIONS | 2002年

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：

In this paper, we introduce a new class of kernel functions(1) and try to combine kmean, EM, and new kernels together. The resulting network is easy to use, and has favorable classification accuracy. Experiments show that our new model has better performance than traditional RBF neural networks and is super compared with MLP and other nonparametric classification tools.

引用

页码：17 / 22

页数：6

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