指挥控制与仿真2017，Vol.39Issue(2)：51-54,66,5.DOI:10.3969/j.issn.1673-3819.2017.02.011
SVR和BP在对空威胁评估中的应用
Application of Anti-air Threat Assessment Based on SVR and BP
摘要
Abstract
To improve the flexibility and adaptability of the anti-air threat assessment,the flow diagram of anti-air threat assessment is established based on Support Vector Machine for Regression (SVR) and Back Propagation Neural Networks (BP).The threat factors of anti-air threat assessment are selected,and the standard on normalization are ascertained.The training steps of the SVR models and BP models are detailed.An example is applied to the two models respectively,and the correctness of the conclusion is validated by Matlab.The advantages and disadvantages of the SVR models and BP models are analyzed,which concludes that the SVR models is more suitable for the anti-air threat assessment at the present stage.关键词
支持向量机/神经网络/空中目标/威胁评估Key words
support vector machine/neural networks/anti-air target/threat assessment分类
军事科技引用本文复制引用
王芳,张军辉,吴志泉..SVR和BP在对空威胁评估中的应用[J].指挥控制与仿真,2017,39(2):51-54,66,5.基金项目
中国博士后科学基金项目(2014m562557) （2014m562557）
