Stacked BI-LSTM and E-Optimized CNN-A Hybrid Deep Learning Model for Stock Price Prediction

Univariate stocks and multivariate equities are more common due to partnerships. Accurate future stock predictions benefit investors and stakeholders. The study has limitations, but hybrid architectures can outperform single deep learning approach (DL) in price prediction. This study presents a hybr...

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Veröffentlicht in:	Optical memory & neural networks 2024-06, Vol.33 (2), p.102-120
Hauptverfasser:	Swarnalata Rath, Das, Nilima R., Pattanayak, Binod Kumar
Format:	Artikel
Sprache:	eng
Schlagworte:	Complexity Computer Science Information Storage and Retrieval
Online-Zugang:	Volltext
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