Towards an Optimal KELM Using the PSO-BOA Optimization Strategy with Applications in Data Classification

Towards an Optimal KELM Using the PSO-BOA Optimization Strategy with Applications in Data Classification

The features of the kernel extreme learning machine—efficient processing, improved performance, and less human parameter setting—have allowed it to be effectively used to batch multi-label classification tasks. These classic classification algorithms must at present contend with accuracy and space–t...

書誌詳細
主要な著者:	Yinggao Yue, Li Cao, Haishao Chen, Yaodan Chen, Zhonggen Su
フォーマット:	論文
言語:	English
出版事項:	MDPI AG 2023-07-01
シリーズ:	Biomimetics
主題:	kernel extreme learning machine butterfly optimization algorithm particle swarm optimization parameter optimization generalization ability
オンライン･アクセス:	https://www.mdpi.com/2313-7673/8/3/306

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