[1] 胡剑文,常青,冯晓文,等.作战仿真实验:理论、平台与应用[M].北京:国防工业出版社,2016. HU J W, CHANG Q, FENG X W, et al. Combat simulation experiment: theory, platform and application[M]. Beijing: National Defense Industry Press, 2016.(in Chinese)
[2] 余辉,屈喜龙,谢京力. 基于支持向量机的电力云故障诊断方法研究[J]. 湖南工程学院学报(自然科学版),2017,27(4):39-42. YU H, QU X L, XIE J L. Research on fault diagnosis method of power cloud based on support vector machine[J]. Journal of Hunan Institute of Engineering (Natural Science Edition), 2017, 27(4): 39-42. (in Chinese) [3] 蔡冬松,靖继鹏. 基于最小二乘支持向量机的数据挖掘应用研究[J]. 情报科学, 2005,23 (12):1877-1880. CAI D S, JING J P. Data mining based on least squares support vector machine[J]. Information Science, 2005,23 (12):1877-1880. (in Chinese)
[4] 张琨,曹宏鑫,刘凤玉. 一种基于SVM的网络入侵检测模型[J]. 南京理工大学学报, 2007,31(4): 403-408. ZHANG K, CAO H X, LIU F Y. SVM-based network intrusion detection model[J]. Journal of Nanjing University of Science and Technology, 2007,31(4): 403-408. (in Chinese) [5] 张彪,闫晓鹏,栗苹,等. 基于支持向量机的无线电引信抗扫频式干扰研究[J]. 兵工学报,2016,37(4): 635-640. ZHANG B, YAN X P, LI P, et al. Research on anti-frequency sweeping jamming of radio fuze based on support vector machine[J].Acta Armamentarii, 2016,37(4): 635-640. (in Chinese) [6] 杨小明, 崔雪, 周斌. 基于粒子群优化支持向量机的短期负荷预测[J]. 武汉大学学报(工学版), 2018,51(8):715-720. YANG X M,CUI X, ZHOU B. Research of short tern load forecasting based on particle swarm optimization SVM[J]. Engineering Journal of Wuhan University, 2018,51(8):715-720. (in Chinese) [7] 吕明珠, 苏晓明, 陈长征,等. Fisher准则下的粒子群支持向量机在轴承故障诊断中的应用[J]. 机械与电子, 2018,36(7): 49-54. L M Z, SU X M, CHEN C Z,et al. Application of particle swarm support vector machine based on Fisher criterion in bearing fault diagnosis[J]. Machinery & Electronics,2018,36(7):49-54. (in Chinese) [8] 张树团, 张晓斌, 雷涛,等. 基于粒子群算法和支持向量机的故障诊断研究[J]. 计算机测量与控制, 2008,16 (11): 1573- 1574. ZHANG S T, ZHANG X B, LEI T, et al. Research on fault diagnosis based on PSO and SVM[J]. Computer Measurement & Control, 2008,16 (11): 1573-1574. (in Chinese)
[9] CHAPELLE O, VAPNIK V, MUKHERJEE S. Choosing multiple parameters for support vector machines[J]. Machine Learning,2002,46(1): 131-159.
[10] AHMED F, SIYAL M Y. A secure and robust wavelet-based hashing scheme for image authentication[C]∥Proceedings of the 13th International Multimedia Modeling Conference. Singapore: Nanyang Technological University, 2007: 51-62. [11] 颜根廷,李传江,马广富. 基于混合遗传算法的支持向量机参数选择[J]. 哈尔滨工业大学学报, 2008,40(5):688-691. YAN G T, LI C J, MA G F. Parameter selection for support vector machine based on hybrid genetic algorithm[J]. Journal of Harbin Institute of Technology, 2008,40(5):688-691. (in Chinese) [12] HU T, QIU Y P, CUI H J,et al. Numerical discretization-based kernel type estimation methods for ordinary differential equation models[J].Acta Mathematica Sinica, 2015,31(8):1233-1254. [13] 赵羲,苏昊月,石中玉,等. 南极海冰密集度多源数据的交叉检验[J]. 武汉大学学报(信息科学版), 2015,40(11):1460- 1466. ZHAO X, SU H Y, SHI Z Y, et al. Intercomparison of multi-sources sea ice concentration data in Antarctic[J]. Geomatics and Information Science of Wuhan University, 2015,40(11):1460-1466. (in Chinese)
第40卷第9期 2019 年9月兵工学报ACTA ARMAMENTARIIVol.40No.9Sep. 2019
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