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Author Araujo, Aluizio F R ♦ Rego, Renata L M E
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Neural networks ♦ Self-organizing maps ♦ Unsupervised learning
Abstract A number of research studies considering a self-organizing map have been developed since such a map was proposed by Kohonen [1982]. Some of these studies concern SOM-based models that do not use pre-defined structures to produce their mappings. We call these models Self-Organizing Maps with Time-Varying Structure (SOM-TVS). Despite the large number of SOM-TVS models there is not a standard way to describe them. In this article, we propose a framework to describe SOM-TVS models, which we use to describe some of these models and to compare their algorithms, and we present some real-world applications of the models presented.
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-07-11
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 46
Issue Number 1
Page Count 38
Starting Page 1
Ending Page 38


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Source: ACM Digital Library