DocumentCode
2734473
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
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
86
Lastpage
86
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.406
Filename
4427731
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