DocumentCode
3448963
Title
Neuro-fuzzy modeling for dynamic system identification
Author
Jang, Jyh-Shing Roger
Author_Institution
Dept. of Comput. Sci., Tsinghua Univ., Hsinchu, Taiwan
fYear
1996
fDate
11-14 Dec 1996
Firstpage
320
Lastpage
325
Abstract
This paper presents the continued work of a previously proposed ANFIS (Adaptive Neuro-Fuzzy Fuzzy Inference System) architecture with emphasis on the applications to dynamic system identification. We demonstrate the use of ANFIS for the hair dryer modeling problem and compare its performance with the ARX model
Keywords
fuzzy neural nets; inference mechanisms; ANFIS; ARX model; adaptive neurofuzzy fuzzy inference system architecture; dynamic system identification; hair dryer modeling problem; neuro-fuzzy modeling; Artificial intelligence; Computational modeling; Convergence; Fuzzy reasoning; Fuzzy systems; Hair; Predictive models; Shape; System identification; Temperature measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location
Kenting
Print_ISBN
0-7803-3687-9
Type
conf
DOI
10.1109/AFSS.1996.583623
Filename
583623
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