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

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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.

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Authors and Affiliations

  1. Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, Auckland, New Zealand

    ZEKE S. H. CHAN & NIKOLA KASABOV

Authors
  1. ZEKE S. H. CHAN
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  2. NIKOLA KASABOV
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Correspondence to ZEKE S. H. CHAN.

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CHAN, Z.S.H., KASABOV, N. A Preliminary Study on Negative Correlation Learning via Correlation-Corrected Data (NCCD). Neural Process Lett 21, 207–214 (2005). https://doi.org/10.1007/s11063-005-1084-6

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  • DOI: https://doi.org/10.1007/s11063-005-1084-6

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