%0 Journal Article
%T Comparison of application on Elman and BP neural networks in discriminating water bursting source of coal mine<br>Elman与BP神经网络在矿井水源判别中的应用
%A 钱家忠
%A 吕纯
%A 赵卫东
%A 潘婧
%J 系统工程理论与实践
%D 2010
%I 
%X The discrimination of the mine water-bursting source is deemed to be a basic knowledge for the water control in the mines.A speedy and precise discrimination is of key importance to the safe production of the whole mine.This paper introduces Elman neural networks and Back-propagation neural networks.Take Xieyi mine as an example,establishes the distinguishing model for water bursting by Elman neural networks and BP neural networks with groundwater chemical characteristics,respectively. Experimental results ...
%K water bursting source
%K Elman neural networks
%K back-propagation neural networks
%K discriminating model<br>突水水源
%K Elman神经网络
%K BP神经网络
%K 判别模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=25C0023AEA38C466E664B242082E3C5D&yid=140ECF96957D60B2&vid=340AC2BF8E7AB4FD&iid=CA4FD0336C81A37A&sid=769BD58726D66E7D&eid=2DBBF45CC176713E&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=0&reference_num=10