DocumentCode :
1679740
Title :
Off-line structural risk minimization and BARTMAP-S
Author :
Verzi, Stephen J. ; Heileman, Gregory L. ; Georgiopoulos, Michael ; Anagnostopoulos, Georgios
Author_Institution :
Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM, USA
Volume :
3
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
2533
Lastpage :
2538
Abstract :
BARTMAP-S (Simplified Boosted ARTMAP) is a neural network architecture with which structural risk minimization can be performed, although indirectly. BARTMAP-S is trained in an online fashion, consistent with the original way intended for the fuzzy ARTMAP neural network architecture. We propose an extension to BARTMAP-S for conducting off-line learning. Consequently, this alternate mode of learning will allow us to conduct structural risk minimization more directly. We describe the new architecture and present some empirical results to demonstrate the usefulness of structural risk minimization in learning with an ARTMAP-based neural network
Keywords :
ART neural nets; generalisation (artificial intelligence); learning (artificial intelligence); neural net architecture; BARTMAP-S; Simplified Boosted ARTMAP; adaptive resonance theory; empirical risk minimization; generalization performance; neural network architecture; off-line learning; off-line structural risk minimization; overlapping pattern classes; Adaptive systems; Computer networks; Computer science; Fuzzy logic; Machine learning; Neural networks; Resonance; Risk management; Virtual colonoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
ISSN :
1098-7576
Print_ISBN :
0-7803-7278-6
Type :
conf
DOI :
10.1109/IJCNN.2002.1007542
Filename :
1007542
Link To Document :
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