Please use this identifier to cite or link to this item:
|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.|
|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.|
|Appears in Collections:||(IMS-CNM) Comunicaciones congresos|
Show full item record
WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.