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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Deep Learning Model using Neural Network for Analysing, Prediction Delay in Flights. |
| Authors Name: | Aditya Dadasaheb Bombale , Samiksha Nandesh Thakare , Shrutika Dwarkanath Patil , Trupti Narayan Ubhare , Prof. Rahul Kapse |
| Unique Id: | IJSDR1903057 |
| Published In: | Volume 4 Issue 3, March-2019 |
| Abstract: | : Flight delays are quite frequent (12% of the domestic flights arrive more than 15 minutes late), and are a major source of frustration and cost for the passengers. As we will see, some flights are more frequently delayed than others, and there is an interest in providing this information to travelers. As delays are randomly determined, it is interesting to study their entire probability distributions, instead of looking for an average value. Flight delays have a negative effect on airlines, airports and passengers. Their prediction is crucial during the decision-making process for all players of commercial operating. The amount of methods for prediction, and the deluge of data related to such system. And explores the viability of the deep learning models noticeable all-around movement defer expectation undertakings. By joining different models in view of the deep learning worldview, an exact and powerful forecast show has been fabricated which empowers an intricate examination of the examples in air movement delays. Specifically, Recurrent Neural Networks (RNN) has demonstrated its awesome exactness in displaying successive information. Day-to-day arrangements of the takeoff and landing flight deferrals of an individual air terminal have been demonstrated by the Long Short-Term Memory RNN design. |
| Keywords: | . |
| Cite Article: | "Deep Learning Model using Neural Network for Analysing, Prediction Delay in Flights.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 3, page no.343 - 345, March-2019, Available :http://www.ijsdr.org/papers/IJSDR1903057.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1903057 Registration ID:190250 Published In: Volume 4 Issue 3, March-2019 DOI (Digital Object Identifier): Page No: 343 - 345 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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