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
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