Kernel-based topographic map formation by local density modeling

被引：0

作者：

Van Hulle, MM ^{[1
]}

机构：

[1] Katholieke Univ Leuven, Neuro & Psychofysiol Lab, Louvain, Belgium

来源：

NEURAL COMPUTATION | 2002年 / 14卷 / 07期

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 introduce a new learning algorithm for kernel-based topographic map formation. The algorithm generates a gaussian mixture density model by individually adapting the gaussian kernels' centers and radii to the assumed gaussian local input densities.

引用

下载

页码：1561 / 1573

页数：13

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