Title :
Neuro-Fuzzy, Chaos Applications A Study of Neuro-fuzzy Learning Algorithm for Hardware Implementation
Author :
Fujimoto, Kuniaki ; Sasaki, Hirofumi ; Yang, Ren-Qi ; Shi, Yan
Author_Institution :
Kyushu Tokai Univ., Kumamoto
Abstract :
This paper presents a novel neuro-fuzzy learning algorithm, which has a high learning ability and a high-speed processing. The proposed algorithm tune only parameters of the consequent part and calculate grades of the membership functions using only bit shift and NOT operations. Simulation results show the approval of the novel algorithm that it has adequate basic performances for real-time systems.
Keywords :
fuzzy neural nets; learning (artificial intelligence); logic gates; neural chips; NOT operations; bit shift operation; neuro-fuzzy learning algorithm; real-time systems; Application software; Chaos; Circuit optimization; Fuzzy control; Fuzzy systems; Hardware; Inference algorithms; Information systems; Real time systems; Systems engineering and theory;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.406
