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基于ANN的煤层顶板导水断裂带高度预测

Height prediction of water fractured zone based on ANN

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【作者】 马亚杰李建民郭立稳宋恩春

【Author】 MA Ya-jie1,3,LI Jian-min2,3,4,GUO Li-wen1,SONG En-chun2(1.School of Resources and Environment Engineering,Hebei Polytechnic University,Tangshan 063009,China;2.Kailuan(Group)Co.Ltd.,Tangshan 063018,China;3.School of Resources and Saftey Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China;4.The Rock Mechanics & Support Special Committee,China Coal Society,Beijing 100083,China)

【机构】 河北理工大学资源与环境工程学院开滦(集团)有限责任公司开滦(集团)有限责任公司 河北唐山063009中国矿业大学(北京)资源与安全工程学院北京100083河北唐山063018中国煤炭学会岩石力学与支护专业委员会北京100013河北唐山063009

【摘要】 为预测煤矿顶板导水断裂带的最大高度,分析了顶板导水断裂带发育的影响因素,提取了10个指标形成裂高预测指标体系,并收集整理了近10 a来我国24项裂高观测数据,建立了样本数据库.基于BP人工神经网络的理论及方法,建立了煤层开采工作面顶板导水断裂带高度预测模型,模型检验成功.依据计算权值,分析了各指标对裂高的影响程度,提出工作面倾斜长度、埋深对裂高影响较大并加以解释.

【Abstract】 To predict the height of water fractured zone,one system of 10 indexes was composed after analyzing on effecting factors,and a sample data was achieved by collecting and reorganizing 24 observation examples.Based on the theoretic and way of back propagation ANN,one prediction model for height of water fractured zone was built,which was tested to be successful.According to the calculated weight,the effect degree of 10 indexes was analyzed.Depth and length in the dip direction of mining face were thought of greater effect,for which explanation was done.

  • 【文献出处】 煤炭学报 ,Journal of China Coal Society , 编辑部邮箱 ,2007年09期
  • 【分类号】TD823.83
  • 【被引频次】23
  • 【下载频次】234
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