[1] 闫志明,唐夏夏,秦旋,等.教育人工智能(EAI)的内涵、关键技术与应用趋势——美国《为人工智能的未来做好准备》和《国家人工智能研发战略规划》报告解析[J].远程教育杂志,2017,35(1):26-35. YAN Zhi-ming,TANG Xia-xia,QIN Xuan,et al.The Connotations,Key Technology and Application Trend of Educational Artificial Intelligence(EAI):Interpretation and Analysis of the Two Entitled “Preparing for the Future of Artificial Intelligence” and “National Artificial Intelligence R&D Strategic Plann”[J].Journal of Distance Education,2017,35(1):26-35. [2] 知人.智能导弹与导弹的智能化[J].今日中学生,2002(Z1):64. ZHI Ren.Intelligent Missile and Missile Intelligence[J].Today’s High School Students,2002(Z1):64. [3] 杜庆东.智能科学的现状与发展趋势[J].沈阳师范大学学报:自然科学版,2011(1):49-54. DU Qing-dong.Present Status and Future Tendency of Intelligent Science[J].Journal of Shenyang Normal University:Natural Science ed,2011(1):49-54. [4] MITCHELL T M.Machine Learning[M].New York:McGraw Hill Education,1997.ISBN:0070428077. [5] MICHAEL C W,WILLIAM J B.Expert System CFAR:Algorithm Development,Experimental Demonstration,and Transition to Airborne Radar Systems[J].IEEE Aerospace and Electronic Systems Magazine,2017,32(9):40-47. [6] MOHAMMAD S H,SAIFUR R,AH L K et al.A Belief Rule Based Expert System for Datacenter PUE Prediction under Uncertainty[J].IEEE Transactions on Sustainable Computing,2017,2(2):140-153. [7] NAMEER A K,AYMAN E H.Bayesian Regularization of Neural Network to Predict Leakage Current in a Salt Fog Environment[J].IEEE Transactions on Dielectrics and Electrical Insulation,2018,25(2):686-693. [8] WANG Q,DU J,DAI L R,et al.A Multiobjective Learning and Ensembling Approach to High-Performance Speech Enhancement with Compact Neural Network Architectures[J].IEEE/ACM Transactions on Audio,Speech,and Language Processing,2018,26(7):1181-1193. [9] WANG M L,LI H X,CHEN X,et al.Deep Learning-Based Model Reduction for Distributed Parameter Systems[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems,2016,46(12):1664-1674. [10] LIU D,WANG Z W,FAN Y C,et al.Learning Temporal Dynamics for Video Super-Resolution:A Deep Learning Approach[J].IEEE Transactions on Image Processing,2018,27(7):3432-3445. [11] GAO J Y,ZHANG T Z,YANG X S,et al.P2T:Part-to-Target Tracking via Deep Regression Learning[J].IEEE Transactions on Image Processing,2018,27(6):3074-3086. [12] 王雪诚.人工智能算法:改写战争的无形之手[J].军事文摘,2017(11):19-23. WANG Xue-cheng.Artificial Intelligent Algorithm:The Invisible Hand for Rewriting the War[J].Military Digest,2017(11):19-23. [13] 尹昊智,刘铁志.人工智能各国战略解读:美国人工智能报告解析[J].电信网技术,2017(2):52-57. YIN Hao-zhi,LIU Tie-zhi.Artificial Intelligence Strategy Interpretation:Analysis on U.S.Artificial Intelligence Report[J].Telecommunications Network Technology,2017(2):52-57. [14] 陈航辉.算法战:牵引美军人工智能军事化应用[J].解放军报,2017(11):1-3. CHEN Hang-hui.Algorithm Warfare:Leading U.S.Militarized Application of Artificial Intelligence[J].PLA Daily,2017(11):1-3. [15] 武坤琳,文苏丽,吴洋.俄罗斯推进武器装备智能化发展[J].现代军事,2017(Z1):187-189. WU Kun-lin,WEN Su-li,WU Yang.Russia Promotes Intelligent Development of Weapons[J].Conmilit,2017(Z1):187-189. [16] 蔡琳琳.俄罗斯坚定推进智能化军队转型[N].中国青年报,2018-11-22(12). CAI Lin-lin.Russia firmly promotes the transformation of intelligent military[J].China Youth Daily,2018-11-22(12). [17] 袁成.美国防高级研究计划局“小精灵”空中群射/回收无人机项目分析[Z].空天防务观察,2016-10-11. YUAN Cheng.DARPA “Gremlin” Aerial Cluster Launching/Recycling Drone Project Analysis[Z].Air Defense Observation,2016-10-11. |