Comparison of statistical and machine learning methods for daily SKU demand forecasting
Evangelos Spiliotis, Spyros Makridakis, Artemios-Anargyros Semenoglou, Vassilios Assimakopoulos
| Year of publication: |
2022
|
|---|---|
| Authors: | Spiliotis, Evangelos ; Makridakis, Spyros G. ; Semenoglou, Artemios-Anargyros ; Assimakopoulos, V. |
| Subject: | Neural networks | Cross-learning | Forecasting accuracy | Regression trees | SKU demand | Neuronale Netze | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Nachfrage | Demand | Regressionsanalyse | Regression analysis | Prognose | Forecast | Theorie | Theory |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s12351-020-00605-2 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013445352