DocumentCode
3450519
Title
Complex adaptive fuzzy inference systems
Author
Li, Ying ; Jang, Yau-Tonq
Author_Institution
Dept. of Electr. Eng., Yuan Ze Inst. of Technol., Chungli, Taiwan
fYear
1996
fDate
11-14 Dec 1996
Firstpage
551
Lastpage
556
Abstract
The paper presents two complex adaptive fuzzy inference systems, CANFIS and CFBFN. CANFIS is a complex extension of ANFIS. CFBFN is a variation of CANFIS where the number of fuzzy rules can be chosen with greater flexibility. These systems can be used in such applications as communications, radar, and sonar, where the information bearing signals are usually complex
Keywords
adaptive systems; fuzzy neural nets; fuzzy set theory; inference mechanisms; CANFIS; CFBFN; communications; complex adaptive neuro fuzzy inference systems; complex extension; fuzzy rules; information bearing signals; radar; sonar; Adaptive control; Adaptive signal processing; Adaptive systems; Fuzzy sets; Fuzzy systems; Input variables; Programmable control; Radar applications; Radar signal processing; Sonar applications;
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.1996.583709
Filename
583709
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