FD-GRNet: A Dendritic-Driven GRU Framework for Advanced Stock Market Prediction
Time series forecasting in financial markets presents significant challenges due to the inherent nonlinearity, volatility, and dynamic nature of market data. The unique architecture of the flexible dendritic-driven gated recurrent network (FD-GRNet) enables it to effectively manage both long-term de...
Saved in:
| Main Authors: | Tongyan Liu, Jiayi Li, Zihang Zhang, Hang Yu, Shangce Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10879477/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cell-autonomous reduction of CYFIP2 changes dendrite length, dendritic protrusion morphology, and inhibitory synapse density in the hippocampal CA1 pyramidal neurons of 17-month-old mice
by: Yoonhee Kim, et al.
Published: (2024-12-01) -
Modeling Electrical Potential in Multi-Dendritic Neurons Using Bessel Functions
by: Kaouther Selmi, et al.
Published: (2025-03-01) -
Leveraging dendritic complexity for neuromorphic computing
by: Suma G Cardwell, et al.
Published: (2025-01-01) -
Quantitative analysis of dendritic branching pattern of large neurons in human cerebellum
by: Milošević Nebojša T., et al.
Published: (2010-01-01) -
Discriminating neural ensemble patterns through dendritic computations in randomly connected feedforward networks
by: Bhanu Priya Somashekar, et al.
Published: (2025-01-01)