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Real-time decision support for bolter recovery safety:Long short-term memory network-driven aircraft sequencing

Wei Han Changjiu Li Xichao Su Yong Zhang Fang Guo Tongtong Yu Xuan Li

Defence Technology(防务技术)2026，Vol.56Issue(2)：P.184-205,22.

Defence Technology(防务技术)2026，Vol.56Issue(2)：P.184-205,22.DOI:10.1016/j.dt.2025.09.038

Real-time decision support for bolter recovery safety:Long short-term memory network-driven aircraft sequencing

Wei Han ¹Changjiu Li ¹Xichao Su ¹Yong Zhang ²Fang Guo ¹Tongtong Yu ³Xuan Li¹

作者信息

1. Naval Aviation University,Yantai,264001,China
2. Naval Aviation University,Yantai,264001,China Tsinghua University,Beijing,100084,China
3. Institute of Automation Chinese Academy of Sciences,Beijing,100190,China
折叠

摘要

关键词

Carrier-based aircraft/Recovery scheduling/Deep reinforcement learning/Long short-term memory networks/Dynamic real-time decision-making

分类

信息技术与安全科学

引用本文复制引用

Wei Han,Changjiu Li,Xichao Su,Yong Zhang,Fang Guo,Tongtong Yu,Xuan Li..Real-time decision support for bolter recovery safety:Long short-term memory network-driven aircraft sequencing[J].Defence Technology(防务技术),2026,56(2):P.184-205,22.

基金项目

supported by the National Natural Science Foundation of China(Grant No.62403486)。（Grant No.62403486）

Defence Technology(防务技术)

ISSN：2096-3459

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