@inproceedings{cde639b01028450b80777d0e051845f9,
title = "The Markov forecasting model of landing states based on flight data",
abstract = "This paper aims at discussing the relation of flight variables and forecasting accurately the ground speed, which ensures the actual flight trajectory is fit to the expected standard trajectory and better landing states. Touchdown speed is important to reflect the flight states so prediction is valid while it has not been fully researched though there have been some study about landing safety especially the flight parameters prediction. This paper establishes regression model based on Markov to predict the touchdown speed and reduce the error of regression forecasting model.",
author = "C. Hu and S. Zhou and Y. Xie and W. Chang",
note = "Publisher Copyright: {\textcopyright} 2017 Taylor \& Francis Group, London.; 26th European Safety and Reliability Conference, ESREL 2016 ; Conference date: 25-09-2016 Through 29-09-2016",
year = "2017",
language = "英语",
isbn = "9781138029972",
series = "Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016",
publisher = "CRC Press/Balkema",
pages = "369",
editor = "Lesley Walls and Matthew Revie and Tim Bedford",
booktitle = "Risk, Reliability and Safety",
}