Quantum computing and deep learning methods for GDP growth forecasting
David Alaminos, M. Belén Salas, Manuel A. Fernández-Gámez
| Year of publication: |
2022
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|---|---|
| Authors: | Alaminos, David ; Salas, M. Belén ; Fernández Gámez, Manuel A. |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 59.2022, 2, p. 803-829
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| Subject: | Macroeconomic forecasting | GDP growth | Deep learning | Quantum computing | Macroeconomic stability | Wirtschaftsprognose | Economic forecast | Prognoseverfahren | Forecasting model | Wirtschaftswachstum | Economic growth | Nationaleinkommen | National income | Künstliche Intelligenz | Artificial intelligence | Bruttoinlandsprodukt | Gross domestic product |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10614-021-10110-z [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013169077