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基于SVR的火控机解算性能测试

Testing the Calculation Performance of Fire Control Computer Based on SVR
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摘要 针对火控机解算性能的测试问题,提出使用支持向量机回归模型来拟合射击诸元曲线。通过使其与火控机解算出的实际射击诸元进行互相关计算来统一时序关系,以便于比对误差,从而检测火控机解算的正确性。为了验证该拟合方法的可行性,对支持向量机回归的拟合过程进行了计算机仿真,并与用人工神经网络等方法拟合的效果进行了比较。 According to the test problem of fire control computer calculation performance,put forward that using support vector machine regression model to fit shooting parameters curve. And by calculating the cross-correlation between the curve fitted by SVR and actual shooting parameters calculated by fire control computer to make their time-sequential relation same in order to be easy to get the deviation between them , the correctness of calculation of fire control computer could be detected. Computer emulation is used for verifying feasibility of the fitting approach by SVR, and which result is compared with the fitting results by other approaches, such as BP networks and so on.
出处 《科学技术与工程》 2009年第16期4799-4802,共4页 Science Technology and Engineering
关键词 支持向量机回归 射击诸元 互相关 support vector machine regression shooting parameters cross-correlation
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  • 1李盼池,许少华.支持向量机在模式识别中的核函数特性分析[J].计算机工程与设计,2005,26(2):302-304. 被引量:98
  • 2刘显贵,陈志新.基于核主元分析的支持向量机识别方法研究[J].微计算机信息,2006(09S):304-306. 被引量:6
  • 3李秀萍,刘禹,曹海鹰.基于RFID应用的小型化印刷偶极子天线设计[J].北京邮电大学学报,2006,29(5):75-78. 被引量:20
  • 4Li Xiuping,Gao Jianjun,Georg Boeck.Printed Dipole Antenna Design by Artificial Neural NetworkModeling for RFID Application[J].International Journal of RF and Microwave Computer-Aided Engineering,2006,16(6):607-611.
  • 5Gunn S R.Support Vector Machines for Classification and Regression[R].Technical Report,Image Speech and Intelligent Systems Research Group,University of Southampton,1998.
  • 6Smola A J,Schǒlkopf B.A Tutorial on Support Vector Regression[J].Statistics and Computing,2004,14:199-222.
  • 7collobert R,Bengio S.SVMTorch:Support Vector Machines for Large-Scale Regression Problem[J].Machine Learning,2001,143-160.
  • 8Scholkopf B,Smola A,Williamson R,and Bartlett P L.New Support Vector Algorithms[J].Neural Computation,2000,12:1207-1245.
  • 9Scholkopf B,Platt J,Shawe-Taylor J,Smola A J,and Williamson R C.Estimating the Support of a High-Dimensional Distribution[J].Neural Computation,2001,13:1443-1471.
  • 10Li Xiuping,Gao Jianjun,Microwave Nonlinear Device Modeling Using Artificial Neural Network[J].Semicond Sci Technol,2006,21:833-840

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