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

页码：264 / 271

页数：8

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