摘要
立井掘进穿过煤层时,模糊神经网络能够提取、捕捉隐藏在大量历史数据中的规律,将模糊数学与神经网络紧密地结合起来,建立模糊神经网络预测系统,为煤与瓦斯突出区域危险性预测提供了一种新的思路和方法。
The fuzzy neural network can extract and capture the regularity hidden in a large number of historical data, when the shaft goes through the coal seam. Based on the close combination of fuzzy mathematics and neural network, the fuzzy neural network prediction system is set up to provide a new idea and method for the risk forecast of coal and gas outburst region.
出处
《工业安全与环保》
北大核心
2010年第2期43-44,60,共3页
Industrial Safety and Environmental Protection
关键词
立井井筒
模糊神经网络
揭煤
vertical shaft fuzzy neural network opening coal