Fast Neural Network Ensemble Learning via Negative-Correlation Data Correction
Fast Neural Network Ensemble Learning via Negative-Correlation Data Correction
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Date
2005
Authors
Chan, Z.
Kasabov, N
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Journal Article
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Publisher
IEEE
Abstract
This letter proposes a new negative correlation (NC) learning method that is both easy to implement and has the advantages that: 1) it requires much lesser communication overhead than the standard NC method and 2) it is applicable to ensembles of heterogenous networks. © 2005 IEEE.
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