基于SVR的火控系统解算诸元数据拟合方法 |
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引用本文: | 徐艳,王志强,付强,杨青.基于SVR的火控系统解算诸元数据拟合方法[J].火力与指挥控制,2016(6):113-116. |
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作者姓名: | 徐艳 王志强 付强 杨青 |
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作者单位: | 军械工程学院,石家庄,050003 |
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基金项目: | 国防预研重点基金资助项目(9140A27020211JB3402) |
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摘 要: | 火控系统动态精度测试,需要以对火控系统实际输出射击诸元数据的有效数据拟合为前提。采用SVR方法,可将非线性的复杂函数转化为高维特征空间的线性拟合问题。利用ε不敏感损失函数,描述了采用SVR对火控系统解算诸元的拟合方法,并通过与多项式拟合与神经网络拟合方法相比较,表明了SVR方法的有效性。
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关 键 词: | SVR 数据拟合 火控系统 解算诸元 |
Research of Data Fitting Method for Calculation of Fire Control System Based on SVR |
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Abstract: | Condition monitoring for data calculating data of fire control system needs data fitting of output data. By methed of SVR,non-linear complicated function can converse linear fitting to high-dimension feature space. In this paper ε insensitive loss function is adopted,fitting method of fire control system calculated data by SVR is expatiated. by comparing polynomial fitting method with neural network fitting method,the SVR method has availability is indicated. |
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Keywords: | SVR data fitting fire control system calculated data |
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