id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-17185	Shang, Meiling; Qu, Rongguo; Ji, Deqing; Yu, Zhenxing; Fan, Qinwei	Extreme Learning Machine Classification Method based on Twin Strategy Salp Swarm Algorithm	2024	5	.pdf	application/pdf	3481	196	53	However, due to the random generation of input layer weights and thresholds in ELM, it may result in unnecessary or suboptimal weights and thresholds. In order to mitigate the impact of the randomness in the input weights and thresholds of the Extreme Learning Machine (ELM) model, this paper proposes a Twin Strategy Salp Swarm Algorithm (TSSA) to optimize the input weights and thresholds of ELM.	cache/fcis-17185.pdf	txt/fcis-17185.txt