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粗糙集方法在瓦斯突出预测中的应用 被引量:4

APPLYING ROUGH SET THEORY IN FORECAST OF GAS OUTBURSTS
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摘要 煤矿瓦斯突出是一种多发的地质灾害,其影响因素众多,但是突出机理尚未研究清楚。将粗糙集理论和技术引入煤矿瓦斯突出区域预测,对影响瓦斯突出的关键因素进行约简,抽取出瓦斯突出相关的决策规则,建立了煤矿瓦斯突出区域预测模型,并通过数据试验和对比,表明粗糙集方法预测瓦斯突出具有较高的预测准确率,同时方法也为瓦斯突出预测提供了新的研究思路。 Gas outburst in coal mines is a frequently occurred geological disaster and is affected by many factors,however the mechanism of gas outburst is still unclear and is being studied.In this paper we introduce rough set theory and technology to forecasting gas outbursts regions in coal mines.By the reduction of crucial factors impacting gas outbursts and the extraction of decision-making rules pertaining to gas outbursts,a forecasting model of gas outbursts regions in coal mines is built.Through data experiments and contrasts,the rough set approach is demonstrated to have quite high precision in forecasting the gas outbursts.Meanwhile,this approach also provides new research conception to forecasting gas outbursts.
出处 《计算机应用与软件》 CSCD 2011年第1期210-212,共3页 Computer Applications and Software
关键词 粗糙集 瓦斯突出 预测 规则 Rough set Gas outburst Forecast Rule
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  • 1臧大进,严宏凤.基于模糊策略的教师考评系统的研制[J].淮阴工学院学报,2004,13(3):46-47. 被引量:5
  • 2孟江,王耀才,洪留荣.共轭梯度与牛顿混杂算法及在神经网络的应用[J].计算机工程与应用,2004,40(35):84-86. 被引量:1
  • 3鲍玉斌,孙焕良,于戈,嵇晓,王大玲.星链ER模型:一种数据仓库概念设计模型[J].小型微型计算机系统,2005,26(2):235-238. 被引量:5
  • 4于不凡.煤与瓦斯突出机理[M].北京:煤炭工业出版社,1983..
  • 5边肇棋 张学工.模式识别[M].北京:清华大学出版社,2000..
  • 6范天吉.煤矿瓦斯综合治理技术手册[M].吉林:吉林音像出版社,2003.495~562
  • 7张铁岗.矿井瓦斯综合治理技术[M].北京:煤炭工业出版社,2002.
  • 8KIM,KYOUNG-JAE.Financial time series forecasting using support vector machines[J].Neurocomputing,2003:307-319.
  • 9HAN LIU,DING LIU,GANG ZHENG,et al.Research on natural gas load forecasting based on support vector regression[M]∥Proc.of WCICA'.2004:3591-3595.
  • 10MOHANDES M,HALAWANI T,REHMAN S,et al.Support vector machines for wind speed prediction[J].Renewable Energy,2004:939-947.

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