Paper
23 May 2023 Analysis of the application prospect of artificial intelligence in the field of aviation munitions
Jianming Guo, Zhidan Zhang, Yang Chen, Yongzhi Shan, Zhiqiang Xu, Kefan Chen, Long Zhang
Author Affiliations +
Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126453K (2023) https://doi.org/10.1117/12.2681007
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China
Abstract
After four generations of development, aviation ammunition has become the most widely used and most widely used ground strike weapon in the world. Aiming at the requirements of realizing the weapon's precision counterattack capability in the complex and changeable war environment in the future, research the application of artificial intelligence technology in weapons and equipment. Based on the technical characteristics of artificial intelligence, this paper proposes the specific application of artificial intelligence technology in the field of aviation ammunition and analyzes the development prospect of aviation ammunition intelligent technology in combination with the future development trend.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianming Guo, Zhidan Zhang, Yang Chen, Yongzhi Shan, Zhiqiang Xu, Kefan Chen, and Long Zhang "Analysis of the application prospect of artificial intelligence in the field of aviation munitions", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126453K (23 May 2023); https://doi.org/10.1117/12.2681007
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KEYWORDS
Artificial intelligence

Weapons

Algorithm development

Decision making

Evolutionary algorithms

Artificial neural networks

Deep learning

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