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International Conference on Intelligent Data Engineering and Automated Learning

IDEAL 2015: Intelligent Data Engineering and Automated Learning – IDEAL 2015 pp 77–86Cite as

Fusion of Self-Organizing Maps with Different Sizes

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Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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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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Authors and Affiliations

  1. Federal University of Technology – Paraná, UTFPR, Medianeira, Brazil

    Leandro Antonio Pasa

  2. Federal University of Rio Grande do Norte, UFRN, Natal, Brazil

    Leandro Antonio Pasa, José Alfredo F. Costa & Marcial Guerra de Medeiros

Authors
  1. Leandro Antonio Pasa
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  2. José Alfredo F. Costa
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  3. Marcial Guerra de Medeiros
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Corresponding author

Correspondence to Leandro Antonio Pasa .

Editor information

Editors and Affiliations

  1. Wroclaw University of Technology, Wroclaw, Poland

    Konrad Jackowski

  2. Department of Systems, Wroclaw University of Technology, Wroclaw, Poland

    Robert Burduk

  3. Wroclaw Univ of Tech, Wroclaw, Poland

    Krzysztof Walkowiak

  4. Wroclaw University of Technology, Faculty of Electronics, Wroclaw, Poland

    Michal Wozniak

  5. School of Electrical & Electronic E, University of Manchester, Manchester, United Kingdom

    Hujun Yin

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© 2015 Springer International Publishing Switzerland

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Pasa, L.A., Costa, J.A.F., de Medeiros, M.G. (2015). Fusion of Self-Organizing Maps with Different Sizes. In: Jackowski, K., Burduk, R., Walkowiak, K., Wozniak, M., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2015. IDEAL 2015. Lecture Notes in Computer Science(), vol 9375. Springer, Cham. https://doi.org/10.1007/978-3-319-24834-9_10

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  • DOI: https://doi.org/10.1007/978-3-319-24834-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24833-2

  • Online ISBN: 978-3-319-24834-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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