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Type 2 fuzzy neural networks: an interpretation based on fuzzy inference neural networks with fuzzy parameters

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1 Author(s)
D. Rutkowska ; Dept. of Comput. Eng., Tech. Univ. Czestochowa, Poland

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

Published in:

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on  (Volume:2 )

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