论文信息 - Fast neural network ensemble learning via negative-correlation data correction

Fast neural network ensemble learning via negative-correlation data correction

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.

Nikola K. Kasabov | Zeke S. H. Chan | N. Kasabov | Z. Chan

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