Application of machine learning techniques in railway demand forecasting

Neda Etebari Alamdari, Miguel F. Anjos and Gilles Savard

Article (2021)

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Department:	Department of Mathematics and Industrial Engineering
PolyPublie URL:	https://publications.polymtl.ca/47168/
Journal Title:	International Journal of Revenue Management (vol. 12, no. 1-2)
Publisher:	Inderscience Publishers
DOI:	10.1504/ijrm.2021.114970
Official URL:	https://doi.org/10.1504/ijrm.2021.114970
Date Deposited:	18 Apr 2023 14:59
Last Modified:	25 Sep 2024 16:35

Cite in APA 7:	Alamdari, N. E., Anjos, M. F., & Savard, G. (2021). Application of machine learning techniques in railway demand forecasting. International Journal of Revenue Management, 12(1-2), 132-151. https://doi.org/10.1504/ijrm.2021.114970
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