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科技导报 | 综述 2023,41(17): 78-83
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人工智能技术在电子对抗作战中的应用路径
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叶巨翼1,谈何易1*,吴俊1,崔恒2
作者信息
    1. 国防科技大学电子对抗学院,合肥 230037
    2. 77570部队,拉萨 860000

通讯作者:

谈何易(通信作者),教授,研究方向为电子对抗,电子信箱:602077874@qq.com
Application path analysis of artificial intelligence technology in electronic countermeasures
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出版时间: 2023-09-13 doi: 10.3981/j.issn.1000-7857.2023.17.009
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人工智能在军事领域的应用进一步提高了信息化联合作战整体反应能力和执行效率,电子对抗作战行动斗争于无形空间,在瞬息万变的电磁态势中更加迫切地需要得到人工智能技术的加持。通过梳理人工智能技术在军事领域内的主要运用模式,从作战整体性考虑,探究了人工智能在电子对抗中的应用路径。针对态势感知、任务规划、指挥控制、智能协同,提出了精准服务电磁领域斗争、提高智能化作战能力的建议。
电子对抗  /  作战指挥  /  OODA  /  人工智能技术  /  智能化作战
The application of artificial intelligence(AI) in the military field has recently further improved the overall response ability and execution efficiency of information-based joint operations. Electronic countermeasures combat operations take place in an invisible space, it is more urgent for troops to get AI technology support in a fast-changing electromagnetic situation. By sorting out the main application modes of AI technology in military field, this paper systematically studies the application path of AI in electronic countermeasures from a perspective of operational integrity and puts forward specific thoughts and suggestions for combat command,warfare method application,equipment research and development, and intelligent cooperation, so as to accurately serve the electromagnetic field struggle and improve intelligent combat ability.
electronic countermeasures  /  operational command  /  OODA  /  AI technology  /  intelligent combat
叶巨翼,谈何易,吴俊,崔恒. 人工智能技术在电子对抗作战中的应用路径. 科技导报, 2023 , 41 (17) : 78 -83 . DOI: 10.3981/j.issn.1000-7857.2023.17.009
YE Juyi, TAN Heyi, WU Jun, CUI Heng. Application path analysis of artificial intelligence technology in electronic countermeasures[J]. Science & Technology Review, 2023 , 41 (17) : 78 -83 . DOI: 10.3981/j.issn.1000-7857.2023.17.009
2023年第41卷第17期
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doi: 10.3981/j.issn.1000-7857.2023.17.009
  • 接收时间:2023-04-13
  • 首发时间:2023-09-20
  • 出版时间:2023-09-13
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  • 收稿日期:2023-04-13
  • 修回日期:2023-07-13
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谈何易(通信作者),教授,研究方向为电子对抗,电子信箱:602077874@qq.com
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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