An intelligent algorithm to predict GDP rate and find a relationship between COVID‑19 outbreak and economic downturn
Amir Masoud Rahmani, Seyedeh Yasaman Hosseini Mirmahaleh
| Year of publication: |
2024
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|---|---|
| Authors: | Rahmani, Amir Masoud ; Mirmahaleh, Seyedeh Yasaman Hosseini |
| Published in: |
Computational economics. - Dordrecht [u.a.] : Springer Science + Business Media B.V., ISSN 1572-9974, ZDB-ID 1477445-8. - Vol. 63.2024, 3, p. 1001-1020
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| Subject: | COVID-19 | Economic damage | Neural network | Intelligent algorithm | Prediction | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Coronavirus | Algorithmus | Algorithm |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10614-022-10332-9 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014546239