DocumentCode :
2514067
Title :
RBF fuzzy-artmap: a new fuzzy neural network for robust on-line learning and identification of patterns
Author :
Tontini, Gérson ; De Queiroz, Abelardo Alves
Author_Institution :
Dept. of Manage. Sci., Regional Univ. of Blumenau, Brazil
Volume :
2
fYear :
1996
fDate :
14-17 Oct 1996
Firstpage :
1364
Abstract :
One of the most important difficulties in pattern identification with neural networks is the sensibility to the presentation order of the training patterns. This paper presents a new network, RBF fuzzy-artmap, capable of online incremental learning, not sensible to the presentation order of training patterns. It is a hybrid network, formed by a RBF network and a fuzzy-artmap network Because it uses the learning method of the RBF network in a fuzzy-artmap structure, it overcomes limitations of both, RBF and fuzzy-artmap networks. The RBF fuzzy-artmap network is 98% less sensible to the presentation order of training patterns than the fuzzy-artmap network
Keywords :
ART neural nets; feedforward neural nets; fuzzy neural nets; learning (artificial intelligence); RBF fuzzy-artmap; fuzzy neural network; hybrid network; online incremental learning; patterns identification; presentation order; training patterns; Backpropagation; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Learning systems; Management training; Neural networks; Quality control; Radial basis function networks; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
ISSN :
1062-922X
Print_ISBN :
0-7803-3280-6
Type :
conf
DOI :
10.1109/ICSMC.1996.571310
Filename :
571310
Link To Document :
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