The architecture of the DCA network.

<div><p>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 netw...

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Bibliographic Details
Main Author:	Guiyan Zhao (1304901) (author)
Other Authors:	Yunfei Cheng (14145967) (author), Jianhui Yang (536606) (author), Jiayuan Ouyang (21162474) (author)
Published:	2025
Subjects:	Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified term memory networks term memory network offering reliable insights make accurate prediction intricate spatiotemporal patterns improved predictive accuracy error metrics across bidirectional long short stock price data div >< p series data yahoo finance substantial challenge significant reductions results demonstrate nasdaq index model ’ frequency features bilstm model bilstm achieves bilstm ).
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The architecture of the DCA network.

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