资源描述：
《寻找地震相关地区的时间序列相似性匹配算法》由会员上传分享，免费在线阅读，更多相关内容在行业资料-天天文库。
1、ISSN1000-9825,CODENRUXUEWE-mail:jos@iscas.ac.cnJournalofSoftware,Vol.17,No.2,February2006,pp.185−192http://www.jos.org.cnDOI:10.1360/jos170185Tel/Fax:+86-10-62562563©2006byJournalofSoftware.Allrightsreserved.∗寻找地震相关地区的时间序列相似性匹配算法1+121吴绍春,吴耿锋,王炜,蔚赵春1(上海大学计算机工程与科学学院,上海200072)2(上海市地震局,上海200
2、062)ATime-SequenceSimilarityMatchingAlgorithmforSeismologicalRelevantZones1+121WUShao-Chun,WUGeng-Feng,WANGWei,YUZhao-Chun1(SchoolofComputerEngineeringandScience,ShanghaiUniversity,Shanghai200072,China)2(SeismologyBureauofShanghai,Shanghai200062,China)+Correspondingauthor:Phn:+86-21-5633
3、5263,Fax:+86-21-56333061,E-mail:scwu812@staff.shu.edu.cn,http://www.shu.edu.cnWuSC,WuGF,WangW,YuZC.Atime-sequencesimilaritymatchingalgorithmforseismologicalrelevantzones.JournalofSoftware,2006,17(2):185−192.http://www.jos.org.cn/1000-9825/17/185.htmAbstract:Onthebasisofanalyzingthenewlyt
4、imesequenceresearchachievementnowadays,severaldefinitionsonseismologicalzonerelativityareputforwardinthispaperforintegratingthelargeamountofhistoryearthquakesourcedataandtheexperimentalexpertknowledgeinseismologicalfield.Atthesametime,thetimesequencesimilarity-matchingmodeloftherelevants
5、eismologicalzoneispresented,andthenitisimplementedthroughseveralcorrelativeexperimentalsimulations.Basedonthesequencesimilarity-matchingmodel,asequence-matchingalgorithmisgivenwithseismologicalsimilarity.Furthermore,bydiscoveringthehistoryearthquakedatabase(EQDB)inrecent20years,someexper
6、imentsareprovidedtoanalyzelongitudinalthick-granularitysequentialsimilarityandthin-granularitysequentialsimilarity.Finally,theexperimentalresulthasfounditssatisfactorywayoutbyusingtheproposedalgorithmtosupportearthquakeprediction.Keywords:time-sequence;similaritymatching;seismologicalpre
7、diction;algorithm;granularity;seismologicalrelevantzones摘要:把时间序列相似性匹配的基本概念和方法引入到地震预报的应用中.在分析现阶段时间序列研究成果的基础上,结合大量地震历史源数据和领域专家经验知识,提出了有关地震地区相关性的地震相似度定义和地震序列相似性匹配模型,并通过大量实验模拟对该模型进行了反复验证,实现了基于地震相似度的时间序列相似性匹配算法.同时,通过分析我国地震活动频繁区域近20年来的地震历史数据,应用地震区域序列相似性匹配算法进行了固定时间差的粗粒度和细粒度纵向序列相
