Competitive learning for self organizing maps used in classification of partial discharges

Competitive learning for self organizing maps used in classification of partial discharges

In this paper different competitive learning algorithms for self-organizing maps (SOM) are experimentally examined. The characterization of the results obtained is presented in terms of quality of SOM. The competitive learning algorithms evaluated through SOM are winner-takes-all, frequency sensiti...

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Bibliographic Details
Main Authors: Ruben Jaramillo-Vacio, Carlos Alberto Ochoa Ortiz Zezzatti, Julio César Ponce Gallegos
Format: Article
Language:English
Published: Universidad Autónoma del Estado de Morelos 2013-11-01
Series:Programación Matemática y Software
Subjects:
aprendizaje competitivo
mapas autoorganizados
descargas parciales
métricas de calidad
diagnóstico
Online Access:https://progmat.uaem.mx/progmat/index.php/progmat/article/view/100

Internet

https://progmat.uaem.mx/progmat/index.php/progmat/article/view/100

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