Hybrid convolutional long short-term memory models for sales forecasting in retail
Thais de Castro Moraes, Xue-Ming Yuan, Ek Peng Chew
| Year of publication: |
2024
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|---|---|
| Authors: | Moraes, Thais de Castro ; Yuan, Xue-ming ; Chew, Ek Peng |
| Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 43.2024, 5, p. 1278-1293
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| Subject: | CNN | deep neural networks | hybrid forecasting methods | LSTM | retail forecasting | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks | Einzelhandel | Retail trade | Theorie | Theory | Prognose | Forecast | Absatz | Sales |
freely available
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/for.3073 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015108373