Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
394945 | Information Sciences | 2008 | 13 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
J. Echanobe, I. del Campo, G. Bosque,