Community SOM (CSOM): An Improved Self-Organizing Map Learning Technique

被引：0
|
作者：
Vikas Chaudhary
R. S. Bhatia
Anil K. Ahlawat
机构：
[1] National Institute of Technology (N.I.T.),
[2] Krishna Institute of Engineering & Technology,undefined
来源：
International Journal of Fuzzy Systems | 2015年 / 17卷
关键词：
Community; Connection strength; Farthest neuron; Winner neuron; Weak neuron;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In self-organizing map, the neurons in the 1-neighborhood of winner neuron are called community of winner neurons. The neuron which turns out to be the winner for the least number of times after a specified number of iterations has been named here as the weakest neuron. The neurons which are either the weakest or the farthest in the community of winner neurons are not getting enough exposure, which decreases their learning efficiency a lot. A community self-organizing map has been proposed here, which facilitates the learning of the weakest and farthest neuron in the community of winner neurons using a different process, thereby increasing the overall learning.
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页码：129 / 132
页数：3
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