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基于主成分分析和支持向量机的作战飞机效能评估
引用本文:高尚.基于主成分分析和支持向量机的作战飞机效能评估[J].航空计算技术,2005,35(3):17-20.
作者姓名:高尚
作者单位:江苏科技大学,电子信息学院,江苏,镇江,212003
摘    要:作战飞机效能的评估是防空作战中的重要问题,简述了效能评估的各种方法,建立参数效能模型时,首先要挑选特征参数,用主成分分析方法选择武器的特征参数。利用支持向量机建立了作战飞机的参数效能模型,通过实例与神经网络法的结果进行了比较,结果表明支持向量机比较精确和简单。

关 键 词:主成分分析  支持向量机  效能  神经网络
文章编号:1671-654X(2005)03-0017-04
修稿时间:2005年5月21日

Assessing the Effectiveness of Battleplane Based on Principal Component Analysis and Support Vector Machine
GAO Shang.Assessing the Effectiveness of Battleplane Based on Principal Component Analysis and Support Vector Machine[J].Aeronautical Computer Technique,2005,35(3):17-20.
Authors:GAO Shang
Abstract:The problem of assessing the effectiveness of battleplane is important in air defence.In this paper,several methods for assessing the effectiveness are discussed.In weapon system analysis,the first place is to select the character parameters of weapon system.The character parameters of weapon system are selected based on principal component analysis.A parameter effectiveness model of battleplane is established by using support vector machine.The method is illustrated through examples.The comparing results show that the support vector machine method is more accurate and simple than the neural network method.
Keywords:principal component analysis  support vector machine  effectiveness  neural network
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