VLSI design of universal approximator neuro-fuzzy systems
Iluminada Baturone, Santiago Sánchez-Solano, A. Barriga, Carlos Jesús Jiménez Fernández, R. Senhadji, Diego R. Lopez · DIGITAL.CSIC (Spanish National Research Council (CSIC)) · 2001
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.