Fast neural network ensemble learning via negative-correlation data correction

Authors:
Z. S.H. Chan;N. Kasabov
Affiliations:
Knowledge Eng. & Discover Res. Inst., Auckland Univ. of Technol., New Zealand;-
Venue:
IEEE Transactions on Neural Networks
Year:
2005

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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.