煤与瓦斯突出预测研究

Study on prediction of coal and gas outburst

煤与瓦斯突出预测是一项复杂有难度的技术,受到很多因素的影响。首先,以矿井历年来典型突出的突变强度作为灰关联分析的参考数列,其它的突出预测指标为比较数列,通过灰关联分析来确定煤与瓦斯突出的主控因素。然后,利用神经网络对煤与瓦斯突出作了预测。结果表明,该方法是可行的且比模糊聚类方法更具可靠性。

Prediction of coal and gas outburst is an intricate task affected by many factors. At first typical outburst intensity in the coal history is regard as reference sequence, and other outburst index as comparison. It is confirmed that major factors that controls coal and gas outburst by using gray relevancy. At last coal and gas outburst is predicted by using neural network. The predicted results are proved that it is feasible in predicting coal and gas outburst and more reliable than the fuzzy clustering method.