摘要
人工智能在图像识别、语音识别、自然语言处理、机器翻译等民用领域已经取得重大进展,但在军事领域,尤其是装甲火力与指挥控制领域的落地应用较少。针对装甲装备分队作战的军事智能化需求,研究了人工智能在装甲火力与指挥控制领域的应用;探讨了智能的本质和人工智能的进化;分别研究了人工智能在装甲火力控制领域和装甲指挥控制领域的应用;讨论了军事人工智能应用所面临的一系列挑战,并给出下一步发展建议。
Artificial intelligence has made significant progress in civil areas,such as image recognition,speech recognition,natural language processing,and machine translation.However,there are fewer applications in the military field,especially in the field of armored vehicle fire control and command control.Focused on the military intelligence needs of the armored unit combat,the artificial intelligence applied to the armored vehicle fire control and command control is studied.Firstly,the nature of intelligence and the evolution of artificial intelligence are discussed separately.Then,the artificial intelligence applied to the armored vehicle fire control and command control is studied.Finally,many challenges of military artificial intelligence are discussed,and some suggestions for the next development of artificial intelligence are proposed.
作者
王明
武富春
范文超
王淑娟
高飞
许典
WANG Ming;WU Fu-chun;FAN Wen-chao;WANG Shu-juan;GAO Fei;XU Dian(North Automatic Control Technology Institute,Taiyuan 030006,China;The Second Military Representative Office in Taiyuan,Taiyuan 030006,China)
出处
《火力与指挥控制》
CSCD
北大核心
2020年第9期1-5,11,共6页
Fire Control & Command Control
基金
兵器工业联合基金资助项目(6141B011504)。
关键词
人工智能
深度学习
装甲
火力控制
指挥控制
artificial intelligence
deep learning
armored vehicle
fire control
command control
