DocumentCode :
1977760
Title :
On the equivalence of a RBF-like network to TS fuzzy systems: a GA approach for TS-network
Author :
Ciftcioglu, Özer
Author_Institution :
Fac. of Archit., Delft Univ. of Technol., Netherlands
fYear :
2003
fDate :
24-26 July 2003
Firstpage :
55
Lastpage :
60
Abstract :
Functional equivalence of radial basis function (RBF) networks and a class of fuzzy inference systems is considered. The class of fuzzy systems based on the Takagi-Sugeno model is referred to as TS-model of fuzzy inference. From the abstract mathematical viewpoint the functional equivalence between radial basis function networks and fuzzy inference systems is already shown. However, from the viewpoint of realisation of the models with data, the difference between the model performances is observed. The research makes comparisons between an RBF model and its fuzzy model counterpart and qualifications on the equivalence being observed are reported.
Keywords :
fuzzy systems; genetic algorithms; inference mechanisms; radial basis function networks; RBF networks; TS fuzzy system; TS network; Takagi-Sugeno model; function approximation; fuzzy inference system; genetic algorithm; radial basis function networks; Artificial neural networks; Buildings; Chromium; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Power system modeling; Qualifications; Radial basis function networks; Takagi-Sugeno model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN :
0-7803-7918-7
Type :
conf
DOI :
10.1109/NAFIPS.2003.1226755
Filename :
1226755
Link To Document :
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