[1] 李国伟,王付明,王南星.基于模糊AHP法的网络空间联合反恐作战指挥体系效能评估[J].兵器装备工程学报, 2016, 37(4):111-113,117. LI G W, WANG F M, WANG N X. Joint terrorism combat command system effectiveness evaluation based on fuzzy AHP in cyberspace[J]. Journal of Ordnance Equipment Engineering, 2016, 37(4):111-113,117(in Chinese).
[2] 雷志良, 秦开兵, 许明, 等. 基于AHP-云模型的雷达对抗装备组网作战效能评估[J]. 舰船电子对抗, 2014, 37(6):77-82. LEI Z L, QIN K B, XU M, et al. Efficiency evaluation of radar countermeasure equipment joint netting operation based on AHP-Cloud model[J]. Shipboard Electronic Countermeasure, 2014, 37(6):77-82(in Chinese).
[3] 周经伦, 傅攀峰, 罗鹏程. 基于方差的全局敏感性方法在空战效能分析中的运用[J]. 现代防御技术, 2007(6):22-27. ZHOU J L,FU P F, LUO P C. Variance based global sensitivity analysis method using in air combat effectiveness analysis[J]. Modern Defence Technology, 2007(6):22-27(in Chinese).
[4] 谢瑞煜, 赵建军,蒋涛. 基于蒙特卡洛法的武器系统标定误差分析[J].兵器装备工程学报,2019, 40(1):130-134,158. XIE R Y, ZHAO J J, JIANG T. Error analysis of weapon system calibration based on Monte Carlo method[J]. Journal of Ordnance Equipment Engineering, 2019, 40(1):130-134,158(in Chinese).
[5] 姚裕盛, 徐开俊. 基于BP神经网络的飞行训练品质评估[J].航空学报, 2017,38(S1):24-32. YAO Y S, XU K J. Quality assessment of flight training based on BP neural network[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(S1):24-32(in Chinese).
[6] 郭媛媛, 孙有朝,李龙彪. 基于蒙特卡罗方法的民用飞机故障风险评估方法[J].航空学报, 2017, 38(10):155-163. GUO Y Y, SUN Y C, LI L B. Failure risk assessment method of civil aircraft based on Monte Carlo method[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38(10):155-163(in Chinese).
[7] 周智超. 面向武器装备系统效能的敏感性分析[J]. 火力与指挥控制, 2013, 38(2):98-102. ZHOU Z C. Sensitivity analysis of oriented to system effectiveness of weapons and equipment[J]. Fire Control and Command Control, 2013, 38(2):98-102(in Chinese).
[8] 衡德正, 陈伟, 胡轶敏, 等. 基于Sobol序列的装配公差分析[J]. 机械设计与制造, 2016(12):227-230. HENG D Z, CHEN W, HU Y M, et al. Assembly tolerance analysis based on the Sobol sequence[J]. Machinery Design & Manufacture, 2016(12):227-230(in Chinese).
[9] JOE S, KUO F Y. Constructing Sobol sequences with better two-dimensional projections[J]. SIAM Journal on Scientific Computer, 2008, 30(5):2635-2654.
[10] BRATLEY P, FOX B L. Algorithm 659:Implementing Sobol's quasirandom sequence generator[J]. ACM Transactions on Mathematical Software, 1988, 14(1):88-100.
[11] 陈国生, 马良, 张明. 舰艇编队协同防空作战效能评估[J]. 舰船科学技术, 2011, 33(2):105-107. CHEN G S, MA L, ZHANG M. Effect evaluation of coordinated-air defense of warships[J]. Ship Science and Technology, 2011, 33(2):105-107(in Chinese).
[12] SONGLEI N, YAN J. Research on coordination air-defense decision-making optimum model of naval ship formation[J]. Computer Engineering & Applications, 2013, 49(6):257-261.
[13] 罗鹏程, 周经伦,金光,等.武器装备体系作战效能与作战能力评估分析方法[M].北京:国防工业出版社, 2014. LUO P C, ZHOU J L, JIN G, et al. Analysis on assessment methods for combat capability of weapon SoS[M]. Beijing:National Defense Industry Press, 2014(in Chinese).
[14] 罗亚民, 宋贵宝.海军导弹装备采办综合绩效评价体系构建[J].兵器装备工程学报,2018(2):146-152. LUO Y M, SONG G B. Construction of comprehensive performance evaluation system for navy missile equipment acquisition[J]. Journal of Ordnance Equipment Engineering, 2018(2):146-152(in Chinese).
[15] 苏建刚.武器装备效能评估指标体系研究[A]. 北京:中国自动化学会, 2017:4. SU J G. Research on effectiveness evaluation index system of weapon equipment[A]. Beijing:Chinese Association of Automation, 2017:4(in Chinese).
[16] 周静杨. 舰艇编队分布式协同防空建模与仿真[D].西安:西北工业大学, 2016. ZHOU J Y. Modeling and simulation of distributed cooperative air defense for warship fleet[D]. Xi'an:Northwestern Polytechnical University, 2016(in Chinese).
[17] 张晓海, 操新文,耿松涛,等.基于深度学习的军事辅助决策智能化研究[J].兵器装备工程学报, 2018,39(10):162-167. ZHANG X H, CAO X W, GENG S T, et al. Research on intelligence of military auxiliary decision-Making system based on deep learning[J]. Journal of Ordnance Equipment Engineering, 2018,39(10):162-167(in Chinese).
[18] JABARDI M H, AL-FATLAWI A H, LING S. Jabardi diagnosis system for parkinson's disease using speech characteristics of patients and deep belief network[J]. CAAI Transaction on Intelligence Technology, 2017, 2(9):246-253.
[19] HINTON G E, OSINDERO S, TEH Y W. A fast learning algorithm for deep belief nets[J]. Neural Computation, 2014, 18(7):1527-1554.
[20] FISCHER A, IGEL C. Training restricted boltzmann machines:An introduction[J]. Pattern Recognition, 2014, 47:25-39.
[21] HOCHREITER S, MOZER M C. Monaural speech separation by support vector machines:Bridging the divide between supervised and unsupervised learning methods[M]. Blind Speech Separation. Berlin:Springer, 2008:18.
[22] HINTON G E, OSINDERO S, TEH Y W. A fast learning algorithm for deep belief nets[J]. Neural Computation, 2014, 18(7):1527-1554.
[23] SUTSKEVER I, TIELEMAN T. On the convergence properties of contrastive divergence[J]. Journal of Machine Learing Research, 2010, 9(4):789-795.
[24] 陈春利, 金炜东. 一种改进的DNN算法在雷达信号分选中的应用[J]. 计算机应用研究, 2019(4):1-5. CHEN C L, JIN W D. Application of improved DNN algorithm in radar signal sorting[J]. Application Research of Computers, 2019(4):1-5(in Chinese).