Optimizing deep learning techniques with stacking BiLSTM and BIGRU models for gold price prediction
Gold, essential in various sectors from jewelry to financial reserves, plays a crucial role as a financial asset and investment. Accurate prediction of gold prices is vital for informed investment decisions and economic management. This study utilizes a Stacking Ensemble approach to enhance gold pr...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Lublin University of Technology
2025-09-01
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| Seri Bilgileri: | Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska |
| Konular: | |
| Online Erişim: | https://ph.pollub.pl/index.php/iapgos/article/view/6955 |
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