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
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;
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.1996.583709
