Application of Mirror ELM Based on Bio-Inspired Algorithm Optimization

doi:10.13438/j.cnki.jdzk.2022.06.004

Abstract

Abstract: This study proposes a method to determine the weights of an improved ELM.The weight determination process of this method and the traditional ELM weight determination process mirror each other,so it is termed Mirror ELM (MELM).At the same time,a novel bio-inspired algorithm named Beetle Antennae Search (BAS) is used to optimize the selection of neural network weights and is applied in pattern classification.Experimental results show that the proposed BAS-MELM has more simple neural network structure and superior generalization performance in terms of pattern classification.

Key words: extreme learning machine, bio-inspired algorithm, optimization solution, pattern classification, mirror, beetle antennae search algorithm

YIN Yumin, LIAO Bolin. Application of Mirror ELM Based on Bio-Inspired Algorithm Optimization[J]. Journal of Jishou University(Natural Sciences Edition), 2022, 43(6): 14-19.

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