REVIEW ON ROCKBURST PREDICTION UNDER HIGH STRESS CONDITIONS

摘要：

Rockburst is one type of dynamic stability geo-hazard under high stress conditions in underground rock engineering. Due to the serious damage to workers and facilities caused by rockburst, much research has been conducted. Some recent research work on rockburst prediction is discussed in this paper, such as RBF (Radial Basis Function) Neural Network, AdaBoost combination learning method, case reasoning, grey relational analysis theory, and the grey whitenization weight function cluster theory.

作者: YAN-FEI XIONG ZHENG-CAI DONG YAN-LI MA CONG-YIN WANG

作者单位: Command Institute of Engineering Corps of PLA, Xuzhou, 221004, P.R.China

会议类型: 国际会议

会议名称: The 7th International Symposium on Rockburst and Seismicity in Mines(2009年第七届国际岩爆与微振动性学术研讨会)

会议地点: 大连

会议语种:英文

页码: 251-254

在线出版日期: 2009-08-21（万方平台首次上网日期，不代表论文的发表时间）