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A Dynamically-Reconfigurable FPGA Platform for Evolving Fuzzy Systems

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Computational Intelligence and Bioinspired Systems (IWANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3512))

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Abstract

In this contribution, we describe a hardware platform for evolving a fuzzy system by using Fuzzy CoCo — a cooperative coevolutionary methodology for fuzzy system design — in order to speed up both evolution and execution. Reconfigurable hardware arises between hardware and software solutions providing a trade-off between flexibility and performance. We present an architecture that exploits the dynamic partial reconfiguration capabilities of recent FPGAs so as to provide adaptation at two different levels: major structural changes and fuzzy parameter tuning.

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References

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Author information

Authors and Affiliations

  1. Logic Systems Laboratory – LSL, Ecole Polytechnique Fédérale de Lausanne – EPFL, Lausanne, Switzerland

    Grégory Mermoud, Andres Upegui & Eduardo Sanchez

  2. Novartis Institutes for Biomedical Research – NIBR, Basel, Switzerland

    Carlos-Andres Peña

Authors
  1. Grégory Mermoud
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  2. Andres Upegui
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  3. Carlos-Andres Peña
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  4. Eduardo Sanchez
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Editor information

Editors and Affiliations

  1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación, Campus Norte, Edificio C4, C/ Jordi Girona, 1-3, E08034, Barcelona, Spain

    Joan Cabestany

  2. Department of Computer Architecture and Computer Technology, University of Granada,  

    Alberto Prieto

  3. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Francisco Sandoval

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© 2005 Springer-Verlag Berlin Heidelberg

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Mermoud, G., Upegui, A., Peña, CA., Sanchez, E. (2005). A Dynamically-Reconfigurable FPGA Platform for Evolving Fuzzy Systems. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_70

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  • DOI: https://doi.org/10.1007/11494669_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26208-4

  • Online ISBN: 978-3-540-32106-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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