Title :
Type 2 fuzzy neural networks: an interpretation based on fuzzy inference neural networks with fuzzy parameters
Author :
Rutkowska, Danuta
Author_Institution :
Dept. of Comput. Eng., Tech. Univ. Czestochowa, Poland
fDate :
6/24/1905 12:00:00 AM
Abstract :
It is shown, in this paper, that the NEFCON, NEFCLASS, and NEFPROX systems can be viewed as equivalent to the RBF-like neuro-fuzzy systems. In addition, they can be considered as type 2 networks. Analogously to these systems, a concept of type 2 fuzzy neural networks is proposed
Keywords :
fuzzy neural nets; NEFCLASS system; NEFCON system; NEFPROX system; fuzzy inference neural networks; fuzzy parameters; type 2 fuzzy neural networks; Computer networks; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Multi-layer neural network; Multilayer perceptrons; Neural networks; Neurons; Radial basis function networks; Transfer functions;
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.2002.1006671
