Application of empirical wavelet transform, particle swarm optimization, gravitational search algorithm and long short-term memory neural network to copper price forecasting
Yong-Hyong Kim, Song-Jun Ham, Chong-Sim Ri, Won-Hyok Kim, Wi-Song Ri
| Year of publication: |
2025
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|---|---|
| Authors: | Kim, Yong-Hyong ; Ham, Song-Jun ; Ri, Chong-Sim ; Kim, Won-Hyok ; Ri, Wi-Song |
| Published in: |
Portuguese economic journal. - Berlin : Springer, ISSN 1617-9838, ZDB-ID 2098746-8. - Vol. 24.2025, 1, p. 151-169
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| Subject: | Copper price forecasting | Empirical wavelet transform | Gravitational search algorithm | Long-short term memory neural network | Particle swarm optimization | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Algorithmus | Algorithm | Theorie | Theory | Zustandsraummodell | State space model | Mathematische Optimierung | Mathematical programming | Kupfermarkt | Copper market | Kupfer | Copper |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10258-024-00252-x [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015332545