Elimination of Useless Neurons in Incremental Learnable Self-Organizing Map

被引：0
|
作者：
Shimada, Atsushi [1 ]
Taniguchi, Rin-ichiro [1 ]
机构：
[1] Kyushu Univ, Dept Adv Informat Technol, Nishi Ku, Fukuoka 8190395, Japan
来源：
ADVANCES IN SELF-ORGANIZING MAPS, PROCEEDINGS | 2009年 / 5629卷
关键词：
Self-Organizing Map; Elimination of Neurons; Graph Cut;
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 propose a method to eliminate unnecessary neurons in Variable-Density Self-Organizing Map. We have defined art energy function which denotes the error of the map; and optimize the energy function by using graph cut algorithm. We conducted experiments to investigate the effectiveness of our approach.
引用
收藏
页码：264 / 271
页数：8
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