Prediction of Runway Occupancy Time and Runway Exit Distance with Feedforward Neural Networks-Reference-Cited by-同舟云学术

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Prediction of Runway Occupancy Time and Runway Exit Distance with Feedforward Neural Networks

Published:2020-01-05 Issue: Volume: Page:
ISSN:
Container-title:AIAA Scitech 2020 Forum
language:
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Author:

Mirmohammadsadeghi Navid¹,Trani Antonio¹

Affiliation:

1. Virginia Polytechnic Institute and State University

Publisher

American Institute of Aeronautics and Astronautics

Reference17 articles.

1. An Integrated Simulation and Dynamic Programming Approach for Determining Optimal Runway Exit Locations

2. Computer Simulation Model for Airplane Landing-Performance Prediction

3. A decision support system for airport strategic planning

4. Enhancements to the Runway Capacity Simulation Model Using the ASDE-X Data for Estimating Airports Throughput Under Various Wake Separation Systems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams;IEEE Transactions on Artificial Intelligence;2024-08

2. Estimating Runway Overrun Risks of Landing Aircraft;Journal of Infrastructure Systems;2024-06

3. Analyzing Stochastic Features in Airport Surface Traffic Flow Using Cellular Automaton: Tokyo International Airport;IEEE Access;2022

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