Neural network ensembles
Hansen, L.K.
Salamon, P.
Dept. of Math. Sci., San Diego State Univ., CA ;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Oct 1990
Volume: 12,
Issue: 10
On page(s): 993-1001
ISSN: 0162-8828
References Cited: 16
CODEN: ITPIDJ
INSPEC Accession Number: 3793047
Digital Object Identifier: 10.1109/34.58871
Current Version Published: 2002-08-06
Abstract
Several means for improving the performance and training of neural
networks for classification are proposed. Crossvalidation is used as a
tool for optimizing network parameters and architecture. It is shown
that the remaining residual generalization error can be reduced by
invoking ensembles of similar networks
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