Flight delay prediction based on deep learning and Levenberg-Marquart algorithm

Flight delay is inevitable and it plays an important role in both profits and loss of the airlines. An accurate estimation of flight delay is critical for airlines because the results can be applied to increase customer satisfaction and incomes of airline agencies. There have been many researches on...

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Vydáno v:	Journal of big data Ročník 7; číslo 1; s. 1 - 28
Hlavní autoři:	Yazdi, Maryam Farshchian, Kamel, Seyed Reza, Chabok, Seyyed Javad Mahdavi, Kheirabadi, Maryam
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 26.11.2020 Springer Nature B.V SpringerOpen
Témata:	Accuracy Air travel Airlines Algorithms Big Data Client satisfaction Communications Engineering Computational Science and Engineering Computer Science Customer satisfaction Data Data Mining and Knowledge Discovery Database Management Datasets Deep learning Delay Denoising Feature extraction Flight delay prediction Forecasting Information Storage and Retrieval Learning Machine learning Mathematical Applications in Computer Science Model accuracy Networks Noise reduction Prediction models Predictions Profits Recall Satisfaction Sensitivity Stacked denoising autoencoders Deep learning Big data Flight delay prediction Stacked denoising autoencoders
ISSN:	2196-1115, 2196-1115
On-line přístup:	Získat plný text
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