基于改进支持向量回归机的天基信息系统效能评估  

Research on Effectiveness Evaluation of Space-based Information SystemBased on the Improved SVR

作　　者：胡笛 李浩悦[1] 李健[1] HU Di;LI Hao-yue;LI Jian(China Aerospace Academy of Systems Science and Engineering,Beijing 100048,China)

机构地区：[1]中国航天系统科学与工程研究院,北京100048

出　　处：《火力与指挥控制》2020年第7期78-82,共5页Fire Control & Command Control

基　　金：广东省科技厅应用型研发基金资助项目(2016B010127005)。

摘　　要：天基信息系统效能的评估对于一体化作战的现代战争具有重要意义。针对武器系统效能评估的影响因子复杂、样本数量少、非线性较强等特点,采用支持向量回归机算法,并引入布谷鸟搜索算法对支持向量回归机的3个参数进行优化选取。仿真实验结果表明,改进支持向量回归机与传统支持向量回归机、BP神经网络相比,具有更高的准确度,可以有效地对天基信息系统进行效能评估。The evaluation of the effectiveness of space-based information system is of great significance to the modern warfare of integrated operations.In view of the characteristics of complex factors,such as small numbers of samples and strong nonlinearity of weapon system effectiveness evaluation,the support vector regression algorithm is adopted,and the cuckoo search algorithm is introduced to optimize the parameters of the support vector regression machine.The simulation results show that the improved support vector regression machine has higher accuracy than the traditional Support vector regression machine and BP neural network and can effectively evaluate the performance of space-based information systems.

关 键 词：天基信息系统 效能评估 支持向量回归机 布谷鸟搜索算法 

分 类 号：TN97[电子电信—信号与信息处理]