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...

Full beskrivning

Bibliografiska uppgifter
Huvudupphovsmän: Yinggao Yue, Li Cao, Haishao Chen, Yaodan Chen, Zhonggen Su
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2023-07-01
Serie:Biomimetics
Ämnen:
kernel extreme learning machine
butterfly optimization algorithm
particle swarm optimization
parameter optimization
generalization ability
Länkar:https://www.mdpi.com/2313-7673/8/3/306

Internet

https://www.mdpi.com/2313-7673/8/3/306

Liknande verk