id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-30299	Zhang, Rongsen; Gu, Ailing; Hao, Yu	Faster and More Robust GA-Lion and MM-MLP for High-Frequency Trading	2025	7	.pdf	application/pdf	4420	262	52	[11-12], This over-fitting problem is particularly pronounced in stock due to the noisy nature of stock price data[13].Faced with noise and volatility[14-15],a crucial challenge in modeling the stock market[16]lies in developing training methods that enable faster convergence of loss and enhancing robustness (i.e.generalization ability) of model This full connectivity can lead to over-learning of meaningless features, especially for noisy data like stock prices, which can lead to overfitting.	cache/fcis-30299.pdf	txt/fcis-30299.txt