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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© 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
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