An adaptive neuro-fuzzy system for efficient implementations

Authors:
J. Echanobe;I. del Campo;G. Bosque
Affiliations:
Department of Electricity and Electronics, University of the Basque Country, Leioa, 48940 Vizcaya, Spain;Department of Electricity and Electronics, University of the Basque Country, Leioa, 48940 Vizcaya, Spain;Department of Electricity and Electronics, University of the Basque Country, Leioa, 48940 Vizcaya, Spain
Venue:
Information Sciences: an International Journal
Year:
2008

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Abstract

A neuro-fuzzy system specially suited for efficient implementations is presented. The system is of the same type as the well-known ''adaptive network-based fuzzy inference system'' (ANFIS) method. However, different restrictions are applied to the system that considerably reduce the complexity of the inference mechanism. Hence, efficient implementations can be developed. Some experiments are presented which demonstrate the good performance of the proposed system despite its restrictions. Finally, an efficient digital hardware implementation is presented for a two-input single-output neuro-fuzzy system.