BP神经网络预测急斜煤层动力失稳压力变化
BP신경망락예측급사매층동력실은압력변화
On the prediction of pressure changes in steep coal seam using BP neural network
  • 万方数据
    陕西煤炭 협서매탄
    SHAANXI COAL
    2012年 5期 4-6,14 ,共4页

    陈晓龙%张伟%任浩源%聂荣山

    진효룡%장위%임호원%섭영산

    MATLAB工具%BP神经网络%压力%预测 MATLAB工具%BP神經網絡%壓力%預測
    MATLAB공구%BP신경망락%압력%예측
    MATLAB toolbox%BP neural network%pressure%prediction
    煤岩体在应力作用下的变形与裂纹扩展,是结构失效的重要机制,通过监测煤层的压力变化,分析压力来源、压力大小及其分布特征,为下一步煤岩体卸压方案的形成提供准确可靠依据。以新疆大洪沟煤矿现场锚杆测力计观测数据为研究对象,利用MATLAB的神经网络工具箱提供的许多有关神经网络设计、训练以及仿真的函数,实现BP网络对压力监测数据发展的预测研究。
    매암체재응력작용하적변형여렬문확전,시결구실효적중요궤제,통과감측매층적압력변화,분석압력래원、압력대소급기분포특정,위하일보매암체사압방안적형성제공준학가고의거。이신강대홍구매광현장묘간측력계관측수거위연구대상,이용MATLAB적신경망락공구상제공적허다유관신경망락설계、훈련이급방진적함수,실현BP망락대압력감측수거발전적예측연구。
    By monitoring the pressure change of coal seam,analyzing the distribution characteristics of pressure,It can provide reliable basis for coal-rock pressure relief programs.By researching the in-situ observation data of bolt support in Dahonggou Coal Mine,using relevant neural network design,training and simulation function provided by MATLAB toolbox,pressure monitoring data can be used for support design.
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