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基于概率神经网络的煤层顶板砂岩含水层富水性预测
引用本文:刘德民,连会青,韩永,李飞. 基于概率神经网络的煤层顶板砂岩含水层富水性预测[J]. 煤炭技术, 2014, 0(9): 336-338
作者姓名:刘德民  连会青  韩永  李飞
作者单位:华北科技学院矿井灾害防治重点实验室;中国矿业大学(北京)地球科学与测绘工程学院
基金项目:国家自然科学基金(51204069);中央高校基本科研业务费资助(3142014002)
摘    要:以谢桥矿为例,分析了8煤层开采最大导水裂隙带发育的高度,确定了顶板砂岩水预测的范围,研究了顶板富水性的影响因素,建立了评价指标体系,在此基础上利用概率神经网络预测了煤层顶板砂岩的富水性。

关 键 词:概率神经网络  顶板砂岩含水层  富水性  预测

Study on Water Enrichment Prediction of Coal Roof Sandstone Aquifer Based on PNN
LIU De-min;LIAN Hui-qing;HAN Yong;LI Fei. Study on Water Enrichment Prediction of Coal Roof Sandstone Aquifer Based on PNN[J]. Coal Technology, 2014, 0(9): 336-338
Authors:LIU De-min  LIAN Hui-qing  HAN Yong  LI Fei
Affiliation:LIU De-min;LIAN Hui-qing;HAN Yong;LI Fei;Mine Water Prevention and Control Research Institute,North China Institute of Science and Technology;College of Geoscience and Surveying Engineering,China University of Mining and Technology(Beijing);
Abstract:Taking Xieqiao mine as an example,the maximum height of the fractured zone of 8 coal seam mining was analyzed,and the scope of water enrichment prediction of coal roof sandstone aquifer was determined.Based on the analysis of influence factors and evaluation index system of the enrichment of sandstone roof water,water enrichment of coal roof sandstone aquifer was predicted by PNN.
Keywords:PNN  sandstone roof water  water enrichment  prediction
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