%0 Journal Article
%T Study on Ventilation System Evaluation Simulation Based on Rough Set and Artificial Neuron Network<br>基于粗糙集-神经网络的矿井通风系统可靠性评价仿真研究
%A WANG Hong-de~
%A MA Yun-dong~
%A <br>王洪德
%J 系统工程理论与实践
%D 2005
%I 
%X Follow the tracks of statistic and analyses to ventilation system reliability running state, set up a suit of reliability evaluating indexes' system adapted to it firstly; and then making use of the complementary superiority of ANN and RS each other, taking RS for former disposal system to optimize the indexes structure, constructed ventilation system evaluating simulation model basing on RS and ANN, and put it up to the example validation. The results indicate that the simulating conclusion of this model corresponding to the ANN's entirely, and the training efficiency of it increasing hundreds of times.
%K ventilation system reliability
%K evaluation indexes system
%K rough set(RS)
%K artificial neuron network(ANN)<br>通风系统可靠性
%K 评价指标体系
%K 粗糙集(RS)
%K 神经网络(ANN)
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=09BE36E59DAF5773&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=DF92D298D3FF1E6E&sid=35FC3610259C2B32&eid=7AA74D31F1FF2DCE&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=16&reference_num=6