Soft Computing in Hardware Implementations

  • Bogdan. M. Wilamowski
  • Okyay M. Kaynak
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 19)


Several VLSI implementations for soft computing are described, including piecewise approximation and nonlinear signal processing using MOS device characteristics. Both fuzzy and neural technologies are investigated. Fuzzy controllers are the most popular choice for hardware implementation of complex control surfaces because they are easy to design. Neural controllers are more complex and hard to train, but provide an outstanding control surface with much less error than that of a fuzzy controller.


Membership Function Fuzzy Controller Soft Computing Control Surface Very Large Scale Integration 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Bogdan. M. Wilamowski
    • 1
  • Okyay M. Kaynak
    • 2
  1. 1.College of Engr.University of IdahoBoiseUSA
  2. 2.EEE DepartmentBogazici UniversityIstanbulTurkey

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