Pattern Recognition and Forecast of Coal and Gas Outburst

首页> 中文期刊> 《矿业科学技术（英文版）》 >Pattern Recognition and Forecast of Coal and Gas Outburst

Pattern Recognition and Forecast of Coal and Gas Outburst

开具论文收录证明 >>

期刊封面封底目录下载 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Coal and gas outburst is a complicated dynamic phenomenon in coal mines, Multi-factor Pattern Recogni-tion is based on the relevant data obtained from research achievements of Geo-dynamic Division, With the help of spa-tial data management, the Neuron Network and Cluster algorithm are applied to predict the danger probability of coaland gas outburst in each cell of coal mining district. So a coal-mining district can be divided into three areas: dangerousarea, minatory area, and safe area. This achievement has been successfully applied for regional prediction of coal andgas outburst in Huainan mining area in China.

著录项

来源
《矿业科学技术（英文版）》 |2005年第3期|251-254|共4页
作者

展开▼
作者单位

College of Resource and Environment Engineering Liaoning Technical University Fuxin Liaoning 123000 China;

School of resource and Environment Engineering Beijing University of Science and Technology Beijing 100083 China;

展开▼
原文格式 PDF
正文语种 chi
中图分类矿山压力与岩层移动;
关键词
coal and gas outburst; probability prediction; pattern recognition; geo-dynamic division;

机译：煤与瓦斯突出概率预测;模式识别;地球动力分工;

客服邮箱：kefu@zhangqiaokeyan.com

客服微信
服务号

Pattern Recognition and Forecast of Coal and Gas Outburst

摘要

著录项

相关主题

期刊订阅