A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction.

A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction.

The complexities of stock price data, characterized by its nonlinearity, non-stationarity, and intricate spatiotemporal patterns, make accurate prediction a substantial challenge. To address this, we propose the DCA-BiLSTM model, which combines dual-path convolutional neural networks with an attenti...

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Bibliographic Details
Main Authors:	Guiyan Zhao, Yunfei Cheng, Jianhui Yang, Jiayuan Ouyang
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2025-01-01
Series:	PLoS ONE
Online Access:	https://doi.org/10.1371/journal.pone.0319775
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