首页 | 本学科首页   官方微博 | 高级检索  
     检索      

煤与瓦斯突出预报的模糊聚类关联分析法
引用本文:孙艳玲,秦书玉,梁宏友.煤与瓦斯突出预报的模糊聚类关联分析法[J].辽宁工程技术大学学报(自然科学版),2003,22(4):492-493.
作者姓名:孙艳玲  秦书玉  梁宏友
作者单位:1. 辽宁工程技术大学资源与环境工程学院,辽宁,阜新,123000
2. 阜新煤业集团艾友矿,辽宁,阜新,123000
摘    要:首先采用模糊聚类分析对煤与瓦斯突出的样本集合进行分类,建立不同突出程度的模糊模式。然后用关联分析确定待预报样本与模式的关联程度,以此预测预报样本的煤与瓦斯突出危险程度。这种预报方法相对于模糊聚类分类后,将模式与待预报样本组成新的样本集合,再进行聚类分析,以此分类结果进行预报法。不仅可靠程度高,而且能定量描述待报样本与模式的亲和程度。

关 键 词:煤与瓦斯突出  预报方法  模糊聚类关联分析法  关联程度  矿山安全
文章编号:1008-0562(2003)04-0492-02
修稿时间:2003年6月18日

Fuzzy gathering classification connection analysis for coal and gas outburst
SUN Yan-ling,QIN Shu-yu,LIANG Hong-you.Fuzzy gathering classification connection analysis for coal and gas outburst[J].Journal of Liaoning Technical University (Natural Science Edition),2003,22(4):492-493.
Authors:SUN Yan-ling  QIN Shu-yu  LIANG Hong-you
Institution:SUN Yan-ling1,QIN Shu-yu1,LIANG Hong-you
Abstract:Firstly, the simple integration is classified for the coal and gas outburst by adopting clustering analysis method. The fuzzy model is set up for different outburst degree. Afterwards, the connection degree is confirmed for the undetermined forecasting sample and model by applying the connection analysis. And then, the danger degree is forecasting predicted for the coal and gas outburst of the sample. Compared with fuzzy clustering classification method, this forecasting method not only has higher reliability, but also can quantitatively describe the amicable degree of the undetermined forecasting sample and model. It is a kind of good method.
Keywords:coal and gas outburst  fuzzy clustering  connection degree  forecasting and prediction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号