UAV Air Combat Situation Assessment Method based on Improved Clustering and Self-Learning Network-Reference-Cited by-同舟云学术

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UAV Air Combat Situation Assessment Method based on Improved Clustering and Self-Learning Network

Published:2023-10-20 Issue: Volume: Page:1753-1759
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering
language:
Short-container-title:

Author:

Zhou Huan¹^ORCID,Liu An²^ORCID,Li Haiyun³^ORCID

Affiliation:

1. Research Center of Unmanned System Strategy Development, Northwestern Polytechnical University, China and Aviation Engineering School, Air Force Engineering University, China

2. Aviation Engineering School, Air Force Engineering University, China

3. 94969 Unit, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3650400.3650692

Reference7 articles.

1. Dempster-Shafer evidence theory for multi-bearing faults diagnosis

2. Trajectory Synthesis for Air Traffic Automation

3. Research for Nonlinear Model Predictive Controls to Laterally Control Unmanned Vehicle Trajectory Tracking

4. Short-Term Traffic State Prediction Based on Temporal–Spatial Correlation

5. Fuzzy clustering with spatial–temporal information

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