Artificial neural network technology is applied to water inrush forecast of coal seam floor of Feicheng mine area.
将人工神经网络技术应用于肥城煤矿区煤层底板突水预报中，并且开发研制成突水预报人工神经网络系统。
Through the analysis of practical data, the main factors influenced on the water gushing of seam floor are studied.
通过对实际资料分析，研究了影响煤层底板突水的主要因素。
When there is a fault in coal seam floor, the breakage depth will increase and the stress change will be more complicated.
当底板中含断层时其破坏深度增大，采前采后的应力变化也更为复杂。
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