%0 Journal Article
%T Weapon System''s Parameter-cost Model Based on Rough Set Theory and Neural Network<br>基于Rough集理论和神经网络的武器系统参数费用模型
%A GAO Shang
%A <br>高尚
%J 系统工程理论与实践
%D 2003
%I 
%X 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.
%K parameter cost model
%K rough set
%K reduction of knowledge
%K neural network
%K B-P algorithm<br>参数费用模型
%K Rough集
%K 知识约简
%K 神经网络
%K B-P算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=0A7DBAB8C8E6543F&yid=D43C4A19B2EE3C0A&vid=EA389574707BDED3&iid=E158A972A605785F&sid=286FB2D22CF8D013&eid=E514EE58E0E50ECF&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=9&reference_num=7