Mixed-signal VLSI design of adaptive fuzzy systems

Author

Baturone, I. ; Sanchez-Solano, Santiago ; Huertas, J.L.

Author_Institution

Inst. de Microelectron. de Sevilla, Spain

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

25

Abstract

Hardware realization of adaptive fuzzy systems is discussed. A highly-parallel architecture based on an active-rule driven scheme is considered so that only the parameters associated with the active rules take part in the inference and learning phases. Mixed-signal circuits are used to implement a gradient-descent algorithm for tuning consequent values and a weight perturbation method to adjust suitably chosen antecedent parameters. Several applications of adaptive fuzzy chips are discussed showing that low-cost realizations are feasible

Keywords

VLSI; adaptive systems; fuzzy systems; inference mechanisms; learning systems; microprocessor chips; parallel architectures; tuning; VLSI; active-rule; adaptive fuzzy systems; gradient-descent algorithm; inference; learning phases; mixed-signal circuits; parallel architecture; tuning; Adaptive systems; Circuit optimization; Computer architecture; Fuzzy sets; Fuzzy systems; Hardware; Inference algorithms; Noise cancellation; Perturbation methods; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.687453

Filename

687453