Off-line structural risk minimization and BARTMAP-S
Verzi, S.J.
Heileman, G.L.
Georgiopoulos, M.
Anagnostopoulos, G.
Dept. of Comput. Sci., New Mexico Univ., Albuquerque, NM;
This paper appears in: Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Publication Date: 2002
Volume: 3,
On page(s): 2533-2538
Meeting Date: 05/12/2002 - 05/17/2002
Location: Honolulu, HI, USA
ISBN: 0-7803-7278-6
References Cited: 22
INSPEC Accession Number: 7328635
Digital Object Identifier: 10.1109/IJCNN.2002.1007542
Current Version Published: 2002-08-07
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
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