建立武器参数费用模型 ,首先要挑选特征参数 ,这里采用知识约简方法选择武器的特征参数 ;利用神经网络理论建立了参数费用模型 ,武器系统的费用与武器特征参数的关系可通过神经网络的阈值和权值得到体现 .通过实例对神经网络法与线性回归法所得的结果进行了比较 ,结果表明 ,神经网络法比线性回归法精确 The establishment of the cost model of weapon parameters, we must first select the characteristic parameters, the knowledge reduction method to select the characteristic parameters of the weapon; the use of neural network theory to establish the parameter cost model, the relationship between the cost of weapons systems and weapons parameters through neural network threshold And weights are reflected.An example is given to compare the results obtained by the neural network method and the linear regression method.The results show that the neural network method is more accurate than the linear regression method