摘要
合理地选择突出控制因素是进行突出预测的关键技术之一.首先给出了基于系统聚类的突出预报数据关联性分析方法,通过DB Index准则判断聚类模型的有效性.然后研究了煤与瓦斯突出控制因素的选择规则.最后以平顶山煤矿为例,分析了该矿突出预报数据间的关联性,得到了相应的变量聚类树,并选择了主要的突出控制因素.仿真结果验证了所提出的突出控制因素选择方法的合理性和有效性.图2,表3,参11.
Control factors＇ selection was one of valuable technologies for the prediction of coal and gas outburst. Analysis method for correlation among coal and gas outburst＇s prediction data, which was based on system clustering algorithm, was presented first. And clustering models＇ validity was estimated by DB Index criterion. Then selective rules for coal and gas outburst＇s control factors were studied. At last, taking Pingdingsan coal mine as an example, correlation among outburst＇s prediction data was counted. And the corresponding regression tree was got. The main control factors of coal and gas outburst were selected. Simulation results illustrate that the proposed method is validity. 2figs., 3tabs., 1 lrefs.
出处
《湖南科技大学学报（自然科学版）》
CAS
北大核心
2006年第4期1-4,共4页
Journal of Hunan University of Science And Technology：Natural Science Edition
基金
高等学校博士学科点专项科研基金资助项目(20050290010)
