Application of machine learning techniques in railway demand forecasting
Year of publication: |
2021
|
---|---|
Authors: | Alamdari, Neda Etebari ; Anjos, Miguel F. ; Savard, Gilles |
Published in: |
International journal of revenue management : IJRM. - Olney, Bucks : Inderscience Enterprises, ISSN 1741-8186, ZDB-ID 2260557-5. - Vol. 12.2021, 1/2, p. 132-151
|
Subject: | revenue management | demand forecasting | feature engineering | machine learning | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Nachfrage | Demand | Revenue-Management | Revenue management | Neuronale Netze | Neural networks |
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