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
fDate :
June 28 2004-July 1 2004
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;
Conference_Titel :
Automation Congress, 2004. Proceedings. World
Conference_Location :
Seville
Print_ISBN :
1-889335-21-5
