Neural Processing Letters

, Volume 21, Issue 3, pp 207–214 | Cite as

A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD)

Article

Abstract

This letter presents a novel cooperative neural network ensemble learning method based on Negative Correlation learning. It enables easy integration of various network models and reduces communication bandwidth significantly for effective parallel speedup. Comparison with the best Negative Correlation learning method reported demonstrates comparable performance at significantly reduced communication overhead.

Keywords

ensemble learning learning negative correlation parallel computing 

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Copyright information

© Springer 2005

Authors and Affiliations

  1. 1.Knowledge Engineering and Discovery Research Institute (KEDRI)Auckland University of TechnologyAucklandNew Zealand

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