A Novel LSTM-Based Daily Airline Demand Forecasting Method Using Vertical and Horizontal Time Series-Reference-Cited by-同舟云学术

A Novel LSTM-Based Daily Airline Demand Forecasting Method Using Vertical and Horizontal Time Series

Published:2018 Issue: Volume: Page:168-173
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Pan Boxiao,Yuan Dongfeng,Sun Weiwei,Liang Cong,Li Dongyang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-04503-6_17

Reference11 articles.

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3. Doganis, R.: Flying Off Course IV: Airline Economics and Marketing. Routledge, Abingdon (2009)

4. Van Ostaijen, T.: Dynamic booking forecasting for airline revenue management: a Kenya airways case study (2017)

5. Queenan, C.C., Ferguson, M., Higbie, J., Kapoor, R.: A comparison of unconstraining methods to improve revenue management systems. Prod. Oper. Manag. 16(6), 729–746 (2007)

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