Enhancing GDP Growth Forecasting with LSTM, GRU, and Hybrid Model: Evidence from South Korea
This study examines the application of Long Short-Term Memory (LSTM) networks, Gated Recurrent Units (GRU) along with traditional econometric models in forecasting South Korea’s GDP growth. A hybrid framework is also developed, integrating these models through a meta-learner to capitalize on their c...
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2025-08-01
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| Series: | SAGE Open |
| Online Access: | https://doi.org/10.1177/21582440251359828 |
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