MICROSEISMIC LOCATION METHOD USING Ω PENALTY FUNCTION BASED ANT COLONY OPTIMIZATION

被引:0
作者
Huang, Linqi [1 ,2 ]
Li, Xibing [1 ]
Liu, Dang [1 ]
机构
[1] Cent S Univ, Sch Resources & Safety Engn, Changsha 410083, Hunan, Peoples R China
[2] Curtin Univ, Sch Civil & Mech Engn, Ctr Infrastruct Monitoring & Protect, Bentley, WA 6102, Australia
来源
ICENCO 2016 - 2016 12TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO) - BOUNDLESS SMART SOCIETIES | 2016年
关键词
Mieroseismie loeation; Ant colony optimization; Omega penalty funetion; HYPOCENTER LOCATION; MODEL;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The development of seismic monitoring brings hope to the prediction of the rockburst and other seismic hazards, where the determination of the potential hypocenter is the key point. Here the equations are listed according to the measured data of sensors, and the seismic location is solved from the equations. The accuracy of location is closely related to the solve method. In this paper, a microseismic location method using Omega penalty function based on ant colony optimization is proposed. Experimental results show that the presented method gets a more accurately prediction in the microseismic source location.
引用
收藏
页码:208 / 212
页数:5
相关论文
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