Digital.CSIC > Ciencia y Tecnologías Físicas > Instituto de Microelectrónica de Sevilla (IMS-CNM) > (IMS-CNM) Comunicaciones congresos >

Open Access item 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, Inference, VLSI design, Xfuzzy
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.
Appears in Collections:(IMS-CNM) Comunicaciones congresos

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