Comparison of statistical and machine learning methods for daily SKU demand forecasting
Year of publication: |
2022
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Authors: | Spiliotis, Evangelos ; Makridakis, Spyros G. ; Semenoglou, Artemios-Anargyros ; Assimakopoulos, V. |
Published in: |
Operational research : an international journal. - Berlin : Springer, ISSN 1866-1505, ZDB-ID 2425760-6. - Vol. 22.2022, 3, p. 3037-3061
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Subject: | Neural networks | Cross-learning | Forecasting accuracy | Regression trees | SKU demand | Prognoseverfahren | Forecasting model | Neuronale Netze | Nachfrage | Demand | Künstliche Intelligenz | Artificial intelligence | Schätztheorie | Estimation theory |
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