Fast Neural Network Ensemble Learning via Negative-Correlation Data Correction
Z.S.H. Chan, Nikola Kirilov Kasabov · IEEE Transactions on Neural Networks · 2005
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.