DocumentCode
436356
Title
Complex-valueo adaptive neuro fuzzy inference system-canfis
Author
Malekzadeh-A., A. ; Akbarzadeh-T., M.-R.
Author_Institution
Department of Electrical Engineering, Ferdowsi University of Mashhad
Volume
17
fYear
2004
fDate
June 28 2004-July 1 2004
Firstpage
477
Lastpage
482
Abstract
This paper reports on a novel framework for Complex-valued Adaptive Neuro Fuzzy Interference System. A hybrid of ANFIS and Complex Fuzzy Sets, the CANFIS promises Lo enjoy the strong features of its predecessors in complex domain. The proposed framework could have utility in distributed and time-delayed systems. The universal approximation property of CANFIS for complex domain of functions is also proved. Finally, CANFIS is used here to approximate a simple complex function.
Keywords
Brain modeling; Computer hacking; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Mathematics; Neural networks; Neurons; Complex Fuzzy Sets; Complex implication function and inference system (CFIS). Complex-valued Neural Network; Fuzzy Logic; Stone-Weierstrass theorem;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Congress, 2004. Proceedings. World
Conference_Location
Seville
Print_ISBN
1-889335-21-5
Type
conf
Filename
1439412
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