Title :
Neuro-fuzzy modeling for dynamic system identification
Author :
Jang, Jyh-Shing Roger
Author_Institution :
Dept. of Comput. Sci., Tsinghua Univ., Hsinchu, Taiwan
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;
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
DOI :
10.1109/AFSS.1996.583623
