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在武器系统分析中,建立武器参数费用模型时,首先要挑选特征参数,这里采用R ough理论中的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费用模型;给出了实例和解决此问题的支持向量机源程序.通过实例与线性回归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.
In the weapon system analysis, when setting up the cost model of weapon parameters, we first select the characteristic parameters. Here we use the knowledge reduction method in Rough theory to select the characteristic parameters of the weapon. The parameter cost model is established by using support vector machine. And support vector machine program to solve this problem.Compared with the results of linear regression and neural network by examples, the results show that support vector machine is more accurate and simple.