Title :
Fuzzy system implementation through its approximation with simplified radial basis networks
Author_Institution :
Sch. of Commun. & Informatics, Victoria Univ., Melbourne, Vic., Australia
fDate :
6/24/1905 12:00:00 AM
Abstract :
The paper investigates the method of a fuzzy system design through its approximation with neural networks. It concentrates on further simplification by replacement of a Gaussian radial basis function with its linear and piecewise linear approximation. Different approximating possibilities are tested on four controllers chosen as benchmarks
Keywords :
fuzzy logic; piecewise linear techniques; radial basis function networks; Gaussian radial basis function; benchmarks; fuzzy system design; fuzzy system implementation; piecewise linear approximation; simplified radial basis networks; Cities and towns; Control systems; Function approximation; Fuzzy systems; Industrial training; Informatics; Microprocessors; Neural networks; Neurons; Piecewise linear approximation;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006672
