基于Rough集和支持向量机的作战飞机效能评估  

Assessing of Battle Plane Effectiveness Based on Rough Set and Support Vector Machine

作　　者：高尚[1] 

机构地区：[1]江苏科技大学电子信息学院,镇江212003

出　　处：《计算机工程》2006年第14期184-186,共3页Computer Engineering

摘　　要：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,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,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。This paper discusses several methods for assessing the effectiveness. 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 reduction of knowledge. A parameter effectiveness model is established by using support vector machine. The method is illustrated through examples. 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.

关 键 词：支持向量机 效能 ROUGH集 知识约简 神经网络 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]