Prediction of Aircraft Collision Unsafe Event Based on Hopfield Neural Network Model

DOI

10.2991/isci-15.2015.194How to use a DOI?

Keywords

Aircraft Collision; Influence Factor; Unsafe Event; Hopfield Neural Network

Abstract

To predict the aircraft collision unsafe event effectively, a feasible modeling and predicting method based on Hopfield neural network is proposed. First, the basic idea of Hopfield neural network is introduced, and then the principle of Hopfield neural network is expatiated. The simulation indicates that the proposed Hopfield neural network model has a good prediction on aircraft collision unsafe event.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - XuSheng Gan
AU  - Jin-Liang Chen
AU  - Hai-Tao Zhao
PY  - 2015/01
DA  - 2015/01
TI  - Prediction of Aircraft Collision Unsafe Event Based on Hopfield Neural Network Model
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 1452
EP  - 1458
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.194
DO  - 10.2991/isci-15.2015.194
ID  - Gan2015/01
ER  -