A Method of Aerial Defense Object Threat Assessment Based on Support Vector Machine
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A Method of Aerial Defense Object Threat Assessment Based on Support Vector Machine
一种基于支持向量机的防空目标威胁估计方法
Issue 4, Pages: 338-342(2008)
作者机构:
中北大学信息与通信工程学院
作者简介:
基金信息:
DOI:
CLC:
Published:2008
稿件说明:
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唐立军, 王建中. A Method of Aerial Defense Object Threat Assessment Based on Support Vector Machine[J]. 2008, (4): 338-342.
DOI:
唐立军, 王建中. A Method of Aerial Defense Object Threat Assessment Based on Support Vector Machine[J]. 2008, (4): 338-342.DOI:
A Method of Aerial Defense Object Threat Assessment Based on Support Vector Machine
摘要
为提高防空目标威胁估计的准确性和实用性
在分析目标威胁估计特点的基础上
提出一种基于最小二乘支持向量机的防空目标威胁估计方法
反映了各个威胁因素与威胁估计结果之间的非线性关系.为将专家经验融入威胁估计模型中
采用模糊综合评价的方法获取支持向量机威胁估计模型的训练及测试数据
威胁因素权重采用层次分析法获得
威胁因素的隶属度函数则根据专家经验获得.通过对防空目标威胁估计实例计算
并与已有方法比较
说明了该方法的有效性和优越性.
Abstract
In order to improve practicability and veracity of aerial defense object threat assessment
on the basis of analyzing the characters of object threat assessment
one kind of aerial defense object threat assessment method based on least squares support vector machine(LSSVM)is proposed
which can approximate the nonlinear complex relationship between threat factors and threat assessment result.In order to fuse experts' knowledge in this model
the fuzzy synthetic evaluation method
which threat factor weighs are computed using analytic hierarchy process method
is applied to obtain training and testing data for this model
and subjection function of threat factors are obtained by experts experience.Through a numerical example of aerial defense object threat assessment and comparing with other existed methods
the results show the rationality and superiority of the method.
关键词
Keywords
references
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