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  • Search: subject:"Variational mode decomposition"
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Subject
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Deep learning 3 Forecasting model 3 Prognoseverfahren 3 Algorithm 2 Algorithmus 2 Artificial intelligence 2 Künstliche Intelligenz 2 Learning 2 Learning process 2 Lernen 2 Lernprozess 2 Theorie 2 Theory 2 Variational mode decomposition 2 Virtual currency 2 Virtuelle Währung 2 Algorithmic trading 1 Bitcoin 1 Bitcoin price 1 Börsenkurs 1 Commodity derivative 1 Commodity futures price forecast 1 Commodity price 1 Decomposition method 1 Decomposition-ensemble-reconstruction framework 1 Dekompositionsverfahren 1 Electronic trading 1 Elektronisches Handelssystem 1 Forecast 1 Market concentration 1 Mathematical programming 1 Mathematische Optimierung 1 Neural networks 1 Neuronale Netze 1 PM concentration prediction 1 Portfolio optimization 1 Portfolio selection 1 Portfolio-Management 1 Price forecasting 1 Prognose 1
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Free 4 CC license 3
Type of publication
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Article 4
Type of publication (narrower categories)
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Article in journal 4 Aufsatz in Zeitschrift 4
Language
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English 4
Author
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Jiang, Shangrong 2 Li, Yuze 2 Wang, Shouyang 2 Cai, Peilei 1 Chai, Jian 1 Gao, Yukun 1 Han, Qimeng 1 Li, Li 1 Li, Xuerong 1 Liu, Yijia 1 Shi, Yufeng 1 Wei, Yunjie 1 Zhang, Chengyuan 1 Zhang, Yuxue 1
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Published in...
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Financial innovation : FIN 2 Data science and management : DSM 1 International journal of financial engineering 1
Source
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ECONIS (ZBW) 4
Showing 1 - 4 of 4
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Forecasting hourly PM2.5 concentrations based on decomposition-ensemble-reconstruction framework incorporating deep learning algorithms
Cai, Peilei; Zhang, Chengyuan; Chai, Jian - In: Data science and management : DSM 6 (2023) 1, pp. 46-54
this study, a new decomposition-ensemble framework incorporating the variational mode decomposition method (VMD …
Persistent link: https://www.econbiz.de/10014517994
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Commodity futures price forecast based on multi-scale combination model
Liu, Yijia; Gao, Yukun; Shi, Yufeng; Zhang, Yuxue; Li, Li; … - In: International journal of financial engineering 9 (2022) 4, pp. 1-32
Persistent link: https://www.econbiz.de/10014234465
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Hybrid data decomposition-based deep learning for Bitcoin prediction and algorithm trading
Li, Yuze; Jiang, Shangrong; Li, Xuerong; Wang, Shouyang - In: Financial innovation : FIN 8 (2022), pp. 1-24
In recent years, Bitcoin has received substantial attention as potentially high-earning investment. However, its volatile price movement exhibits great financial risks. Therefore, how to accurately predict and capture changing trends in the Bitcoin market is of substantial importance to...
Persistent link: https://www.econbiz.de/10013170254
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Take Bitcoin into your portfolio : a novel ensemble portfolio optimization framework for broad commodity assets
Li, Yuze; Jiang, Shangrong; Wei, Yunjie; Wang, Shouyang - In: Financial innovation : FIN 7 (2021), pp. 1-26
(NEPO) framework utilized for broad commodity assets, which integrates a hybrid variational mode decomposition …
Persistent link: https://www.econbiz.de/10012617382
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