基于数据挖掘技术的瓦斯灾害信息特征提取  

Information Feature Extraction of Gas Disaster Based on Data Mining Technology

作　　者：刘翔[1] 杨帆[2] 

机构地区：[1]四川城市职业学院,成都610101 [2]辽宁工程技术大学矿业学院,辽宁阜新123000

出　　处：《煤炭技术》2016年第8期130-132,共3页Coal Technology

基　　金：国家自然科学基金(60903202);四川省教育厅科研项目(13ZB0483)

摘　　要：基于国内外研究现状,讨论了煤矿瓦斯监测存在的问题,采用支持向量机理论对煤矿瓦斯灾害进行在线辨识和隐患判别,采用基于支持向量机的瓦斯识别模型对四川地区煤矿进行瓦斯涌出量预测,验证了模型的有效性。Based on the research status at home and abroad, the problems of coal mine gas monitoring were discussed. The online identification and hidden danger identification of coal mine gas disaster were carried out by using support vector machine theory, based on the support vector machine model, the prediction of gas emission in the coal mine of Sichuan area was carried out. The validity of the model was verified.

关 键 词：数据挖掘 灾害 信息提取 

分 类 号：TD712[矿业工程—矿井通风与安全]