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...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Yinggao Yue, Li Cao, Haishao Chen, Yaodan Chen, Zhonggen Su
Format: Artykuł
Język:English
Wydane: MDPI AG 2023-07-01
Seria:Biomimetics
Hasła przedmiotowe:
kernel extreme learning machine
butterfly optimization algorithm
particle swarm optimization
parameter optimization
generalization ability
Dostęp online:https://www.mdpi.com/2313-7673/8/3/306

Internet

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

Podobne zapisy