BE-ELM: Biological ensemble Extreme Learning Machine without the need of explicit aggregation

Guanjin Wang, Zi Shen Darren Soo

Abstract: Highlights•Unlike other ensemble methods, BE-ELM requires no explicit aggregation.•BE-ELM has a clear biological analogy.•BE-ELM has a guarantee of enhanced generalization capability.•BE-ELM outperforms the standard ELMs and other state-of-art ensemble methods.•The proposed biological structure can be extended to different learning algorithms.