Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/3517
Título : VLSI design of universal approximator neuro-fuzzy systems
Autor : Baturone, I., Sánchez-Solano, Santiago, Barriga, Angel, Jiménez Fernández, Carlos Jesús, Senhadji, Raouf, López, D. R.
Palabras clave : Neuro-fuzzy systems
Inference
VLSI design
Xfuzzy
Fecha de publicación : Nov-2001
Resumen: 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
Citación : XVI Conference on Design of Circuits and Integrated Systems (DCIS2001), pp. 358-363, Oporto, Nov. 2001.
Appears in Collections:(IMS-CNM) Comunicaciones congresos

Files in This Item:
File Description SizeFormat 
VLSI.pdf160,26 kBAdobe PDFView/Open
Show full item record
 
CSIC SFX LinksSFX Query

Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.