ν-SVC分类算法在飞机作战效能评估中的应用  

Application of ν-SVC classification algorithm in aircraft operational effectiveness estimation

作　　者：郭风[1] 王思源[1] 伦洪昌[1] 

机构地区：[1]中国人民解放军94590部队

出　　处：《电光与控制》2007年第2期38-40,54,共4页Electronics Optics & Control

基　　金：国防预研基金资助(98J19.3.2.JB3201)

摘　　要：ν-SVC算法是一种新的支持向量机分类算法,该算法根据给定的参数ν自动调整ε,来控制支持向量数目和算法误差。本文应用ν-SVC算法建立了飞机作战效能分类评估模型,并对几种飞机的作战效能进行了分类评估。评估结果与实际相符,表明ν-SVC算法的飞机作战效能分类评估有较高的分类精度。v - SVC is a new classification algorithm of support vector machine. The algorithm can control the quantity of support vectors and error by adjusting parameter ε automatically according to the given parameter v. An aircraft operational effectiveness classification estimation model was proposed based on v - SVC, which was used for estimating the operational effectiveness of several kinds of aircrafts. The result complied with the actu- al situation, which showed that the new v - SVC algorithm is more accurate for aircraft operation effectiveness than traditional classification algorithm.

关 键 词：v—SVC 支持向量机 作战效能 评估 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计] O235[理学—运筹学与控制论]