Two alternative soft self-organizing maps : Their algorithms and applications

被引：0
|
作者：
Sum, J [1 ]
机构：
[1] Hong Kong Polytech Univ, Dept Comp, Hunghom, Hong Kong, Peoples R China
来源：
2003 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOLS 1-5, CONFERENCE PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents two SOM-like algorithms that are extended from two alternative soft competition algorithms namely Maximum Likelihood Competitive Learning (MLCL) and Fuzzy Competitive Learning (FCL). Simulation results on the topographic map formation are presented and a possible application of such algorithms for data transmission is elucidated. It is observed that under certain circumstances, the performance of these SSOM algorithms in a vowel data transmission problem can be comparable to and sometimes even better than that of using SOM.
引用
收藏
页码：2587 / 2592
页数：6
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