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Fusion of Self-Organizing Maps with Different Sizes

  • Leandro Antonio PasaEmail author
  • José Alfredo F. Costa
  • Marcial Guerra de Medeiros
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9375)

Abstract

An ensemble consists of several neural networks whose outputs are fused to produce a single output, which usually will be better than the individual results of each network. This work presents a methodology to aggregate the results of several Kohonen Self-Organizing Maps in an ensemble. Computational simulations demonstrate an increase in the accuracy classification and the proposed method effectiveness was evidenced by the Wilcoxon Signed Rank Test.

Keywords

Ensemble Self-Organizing Maps Classification 

Notes

Acknowledgments

Authors would like to thank the support of CAPES Foundation, Ministry of Education of Brazil, Brasilia - DF, Zip Code 70.040-020.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Leandro Antonio Pasa
    • 1
    • 2
    Email author
  • José Alfredo F. Costa
    • 2
  • Marcial Guerra de Medeiros
    • 2
  1. 1.Federal University of Technology – Paraná, UTFPRMedianeiraBrazil
  2. 2.Federal University of Rio Grande do Norte, UFRNNatalBrazil

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