基于粗糙集和支持向量机的效能评定

简述了各种武器效能评定方法,并分析了其特点。建立武器参数效能模型,首先要挑选特征参数,提出采用知识约简方法选择武器的特征参数。利用支持向量机建立了参数效能模型,给出了实例和解决此问题的支持向量机源程序。通过实例与指数法和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。

Assessing the effectiveness of weapon systems based on rough set theory and support vector machine

Several methods for assessing the effectiveness of weapon systems are discussed,and their characteristics are analyzed.To establishing the parameters-effectiveness model of weapon systems,the first place is to select the character parameters of weapon systems.The character parameters of weapon systems are selected based on reduction of knowledge.A parameter effectiveness model is established by using support vector machines.The method is illustrated through an example,and the source code is given also.The results obtained from support vector machine method are compared with that from index method and neural network method.The comparing results show that the support vector machine method is more accurate and simple than the index method and neural network method.