摘要
将非线性思想深入应用到煤矿底板突水的研究中,利用人工神经网络(ANN)与地理信息系统(GIS)耦合技术,描述煤矿底板突水各相关因素对突水事件的影响,建立一个能反映较多因素综合作用的底板突水模型,对我国华北煤矿底板突水的危险性进行了分析评价。
This paper applies the nonlinear ideas on the research of floor water irruption. The coupling techniques of Artificial Neural network (ANN) and Geography Information systems (GIS) are used to illustrate impacts of the related factors on water irruption accidents. One floor water irruption model which can reflect actions of more factors has been built. And Risk assessment of floor water irruption in coal mines of North China has been analyzed and evaluated.
出处
《煤矿开采》
2004年第2期1-3,9,共4页
Coal Mining Technology
