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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/3517
Title: VLSI design of universal approximator neuro-fuzzy systems
Authors: Baturone, I.; Sánchez-Solano, Santiago; Barriga, Angel; Jiménez Fernández, Carlos Jesús; Senhadji, Raouf; López, D. R.
Keywords: Neuro-fuzzy systems
VLSI design
Issue Date: Nov-2001
Citation: XVI Conference on Design of Circuits and Integrated Systems (DCIS2001), pp. 358-363, Oporto, Nov. 2001.
Abstract: Neuro-fuzzy systems can theoretically solve any problem since they are universal approximators. Besides, they combine the advantages of the neuro and fuzzy paradigms. This paper describes and compares the different strategies that can be adopted to implement the learning and inference mechanisms involved in a neuro-fuzzy system. CAD tools, most of them integrated into the fuzzy system development environment Xfuzzy 2.0, have been developed to assist the designer in the implementation of neuro-fuzzy systems in FPGAs or ASICs.
URI: http://hdl.handle.net/10261/3517
Appears in Collections:(IMS-CNM) Comunicaciones congresos
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