基于模糊聚类分析和模糊模式识别的煤层底板突水区域预测  

Regional Prediction of Seam Floor Water Inrush Based on Fuzzy Cluster Analysis and Fuzzy Pattern Recognition

作　　者：刘双跃[1] 陈丽娜[1] 王娟[1] 王丹[1] 江飞[1] 

机构地区：[1]北京科技大学土木与环境工程学院,北京100083

出　　处：《矿业安全与环保》2013年第2期85-88,共4页Mining Safety & Environmental Protection

摘　　要：借助于模糊理论与技术可以较客观地实现煤层底板突水预测中模糊信息与模糊关系的正确表达与处理,综合考虑突水影响因素,提出了采用模糊聚类分析与模糊模式识别相结合的预测方法。首先采用模糊聚类分析对底板突水的样本集合进行分类,建立不同程度的模糊模式,然后对待测样本进行模糊模式识别,以此来预测待测样本的底板突水危险程度。此方法克服了模糊聚类单一分析方法的不确定性,提高了预测结果的准确程度。The correct expression and processing of the fuzzy information and fuzzy relation in prediction of seam floor water inrush can be realized more objectively with the aid of fuzzy theory and technology,in this paper,a prediction method with the combination of the fuzzy cluster analysis and fuzzy pattern recognition was put forward based on the comprehensive consideration of the influence factors of water inrush.Firstly,the sample integration of the floor water inrush was classified by adopting fuzzy cluster analysis method and the fuzzy models for different degree were set up,and then,the fuzzy pattern recognition on the undetermined samples was carried out so as to predict the floor water inrush danger degree of them.This method overcame the uncertainty of the fuzzy cluster single analysis method and improved the accuracy of the prediction effect.

关 键 词：煤层底板突水 模糊聚类分析 模糊模式识别 

分 类 号：TD745[矿业工程—矿井通风与安全]