A Dynamically-Reconfigurable FPGA Platform for Evolving Fuzzy Systems

نویسندگان

  • Grégory Mermoud
  • Andres Upegui
  • Carlos Andrés Peña-Reyes
  • Eduardo Sanchez
چکیده

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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تاریخ انتشار 2005