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	Stock trend prediction based on multi-factor screening machine Conference paper Proceedings of 2024 5th International Conference on Computer Science and Management Technology, ICCSMT 2024, Xiamen, October 18–20 Authors: Hu, Ruijie Favorite \| View/Download：3/0 \| Submit date：2025/03/10 attention mechanism convolutional neural network deep learning long short-term memory network stock prediction
	Improving stock trend prediction with pretrain multi-granularity denoising contrastive learning Journal article Knowledge and Information Systems,2024, volume: 66, issue: 4, pages: 2439-2466 Authors: Wang, Mingjie; Wang, Siyuan; Guo, Jianxiong; Jia, Weijia Favorite \| View/Download：7/0 \| Submit date：2024/05/07 Contrastive learning Denoising Memory Multi-granularity data Pre-training Stock trend prediction
	Stock Index Return Volatility Forecast via Excitatory and Inhibitory Neuronal Synapse Unit with Modified MF-ADCCA Journal article Fractal and Fractional,2023, volume: 7, issue: 4 Authors: Wang, Luochao; Lee, Raymond S.T. Favorite \| View/Download：5/0 \| Submit date：2023/06/30 asymmetry Hurst exponent deep learning multifractal neural networks stock prediction
	iJADE stock advisor: An intelligent agent based stock prediction system using hybrid RBF recurrent network Journal article IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.,2004, volume: 34, issue: 3, pages: 421-427 Authors: Lee, Raymond S.T. Favorite \| View/Download：3/0 \| Submit date：2022/01/20 iJADE model Intelligent agents Nuero-oscillatory model Recurrent neural network Stock prediction