Weapon System''s Parameter-cost Model Based on Rough Set Theory and Neural Network
基于Rough集理论和神经网络的武器系统参数费用模型

The character parameters of weapon system are selected based on reduction of knowledge. A parameter cost model is established by using neural network theory. The relationship among cost with characteristic parameters is described through threshold and weight of neural networks. The method is illustrated through examples. The results obtained from neural network method are compared with that from linear regression method. The comparing results show that the neural network method is more accurate than the linear regression method.