DocumentCode :
2749029
Title :
Flexible Takagi-Sugeno fuzzy systems
Author :
Cpalka, Krzysztof ; Rutkowski, Leszek
Author_Institution :
Dept. of Comput. Eng., Czestochowa Tech. Univ., Poland
Volume :
3
fYear :
2005
fDate :
31 July-4 Aug. 2005
Firstpage :
1764
Abstract :
In the paper, a new class of Takagi-Sugeno fuzzy systems is derived. Various parameters and weights are incorporated into construction of such systems. The approach presented in the paper introduces more flexibility to the structure and design of neuro-fuzzy systems.
Keywords :
control system synthesis; fuzzy neural nets; fuzzy systems; neurocontrollers; Takagi-Sugeno fuzzy system; neuro-fuzzy system; Artificial intelligence; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Multidimensional systems; Takagi-Sugeno model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN :
0-7803-9048-2
Type :
conf
DOI :
10.1109/IJCNN.2005.1556147
Filename :
1556147
Link To Document :
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