摘要： 文章综合考虑了水源?隔水层?断层等因素对煤矿突水的影响,建立了基于遗传 神经网络的煤矿突水预测模型,实验结果表明,该模型具有较高的预测精度,预测结果可靠 ,为矿井水害防治提供了一种辅助决策手段?

关键词: 遗传算法, 神经网络, 突水预测

Abstract: This paper comprehensively considers water source, water pressure, w ater pressure, impedance water strata, and fault ectal factors to establish a GN N forecast model for water-inrush from coal floor. Experimental results that the method is more precise in prediction, has high visual effect. And the predictin g result is reliable, which provides an assistant means for decision-making to p revent water-inrush from coal floor.

中图分类号: 

• TP273.5

• TP183