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