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.
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页码：1561 / 1573
页数：13
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