Review of Deep Neural Network Learning for the Airlines

We study the deep neural network's application in airlines. Various deep learning approaches are being reviewed. This paper introduces advancement in demand forecasting, revenue management, predictive maintenance and customer service optimization with the help of deep neural network. After the discussion, the paper also provides insight on how to further optimize them for future development.

Publication Details

Journal
Figshare
Published
2024-10-04
DOI
https://doi.org/10.6084/m9.figshare.27173064
Primary Topic
Forecasting Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Review of Deep Neural Network Learning for the Airlines

Figshare
Forecasting Techniques and Applications
article

Review of Deep Neural Network Learning for the Airlines

article en

Abstract

We study the deep neural network's application in airlines. Various deep learning approaches are being reviewed. This paper introduces advancement in demand forecasting, revenue management, predictive maintenance and customer service optimization with the help of deep neural network. After the discussion, the paper also provides insight on how to further optimize them for future development.

Figshare
Industry, innovation and infrastructure
Openalex Percentile: Top 58%
Forecasting Techniques and Applications
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Review of Deep Neural Network Learning for the Airlines · Figshare (2024) | TGRS Research Map | TGRS