{"title":"Microseismic location method using Ω penalty function based ant colony optimization","authors":"Linqi Huang, Xibing Li, Dong Liu","doi":"10.1109/ICENCO.2016.7856470","DOIUrl":null,"url":null,"abstract":"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 Ω 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.","PeriodicalId":332360,"journal":{"name":"2016 12th International Computer Engineering Conference (ICENCO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Computer Engineering Conference (ICENCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICENCO.2016.7856470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
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 Ω 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.