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A hybrid model based on bidirectional long short-term memory neural network and Catboost for short-term electricity spot price forecasting

Zhang, Fan; Fleyeh, Hasan; Bales, Chris - In: Journal of the Operational Research Society 73 (2022) 2, pp. 301-325

Persistent link: https://www.econbiz.de/10013170134

Predicting Amazon customer reviews with deep confidence using deep learning and conformal prediction

Norinder, Ulf; Norinder, Petra - In: Journal of management analytics 9 (2022) 1, pp. 1-16

Persistent link: https://www.econbiz.de/10012820730

Macroeconomic and financial market analyses and predictions through deep learning

Kim, Soohyon - 2020

Persistent link: https://www.econbiz.de/10012546997

Estimation of transition probabilities for Turkey : an upswing in prediction methods with deep learning

Kütük, Yasin - In: The empirical economics letters : a monthly … 20 (2021) 4, pp. 569-584

Persistent link: https://www.econbiz.de/10013273111

Time-varying neural network for stock return prediction

Wong, Steven Y. K.; Chan, Jennifer S. K.; Azizi, Lamiae; … - In: Intelligent systems in accounting, finance & management 29 (2022) 1, pp. 3-18

Persistent link: https://www.econbiz.de/10013274234

Multistep forecast of the implied volatility surface using deep learning

Medvedev, Nikita; Wang, Zhiguang - In: The journal of futures markets 42 (2022) 4, pp. 645-667

Persistent link: https://www.econbiz.de/10013187579

Machine learning and deep learning based methods toward industry 4.0 predictive maintenance in induction motors : state of the art survey

Drakaki, Maria; Karnavas, Yannis L.; Tziafettas, Ioannis A. - In: Journal of industrial engineering and management : JIEM 15 (2022) 1, pp. 31-57

Purpose: Developments in Industry 4.0 technologies and Artificial Intelligence (AI) have enabled data-driven manufacturing. Predictive maintenance (PdM) has therefore become the prominent approach for fault detection and diagnosis (FD/D) of induction motors (IMs). The maintenance and early FD/D...

Persistent link: https://www.econbiz.de/10012815091

Machine learning and deep learning

Janiesch, Christian; Zschech, Patrick; Heinrich, Kai - In: Electronic markets : EM ; the international journal of … 31 (2021) 3, pp. 685-695

Persistent link: https://www.econbiz.de/10012666765

Should deep learning models be in high demand, or should they simply be a very hot topic? : a comprehensive study for exchange rate forecasting

Yilmaz, Firat Melih; Arabaci, Ozer - In: Computational economics 57 (2021) 1, pp. 217-245

Persistent link: https://www.econbiz.de/10012486893

A comparison of modern deep neural network architectures for energy spot price forecasting

Cordoni, F. - In: Digital finance : smart data analytics, investment … 2 (2020) 3/4, pp. 189-210

Persistent link: https://www.econbiz.de/10012416298

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