This paper shows different competitive learning algorithms for Self Organizing Map (SOM) and are experimentally compared, the characterization of the obtainable results in terms of quality of SOM. The competitive learning algorithms showed to SOM algorithm are Winner-takes-all, Frequency Sensitive Competitive Learning and Rival Penalized Competitive Learning. As a case study: the performance in classification of partial discharge on power cables. © 2012 Springer-Verlag.
CITATION STYLE
Jaramillo-Vacio, R., Ochoa-Zezzatti, A., & Rios-Lira, A. (2012). Comparison of competitive learning for SOM used in classification of partial discharge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7209 LNAI, pp. 128–138). https://doi.org/10.1007/978-3-642-28931-6_13
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