A Time-Sequence Similarity Matching Algorithm for Seismological Relevant Zones
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    On the basis of analyzing the newly time sequence research achievement nowadays, several definitions on seismological zone relativity are put forward in this paper for integrating the large amount of history earthquake source data and the experimental expert knowledge in seismological field. At the same time, the time sequence similarity-matching model of the relevant seismological zone is presented, and then it is implemented through several correlative experimental simulations. Based on the sequence similarity-matching model, a sequence-matching algorithm is given with seismological similarity. Furthermore, by discovering the history earthquake database (EQDB) in recent 20 years, some experiments are provided to analyze longitudinal thick-granularity sequential similarity and thin-granularity sequential similarity. Finally, the experimental result has found its satisfactory way out by using the proposed algorithm to support earthquake prediction.

    Reference
    Related
    Cited by
Get Citation

吴绍春,吴耿锋,王炜,蔚赵春.寻找地震相关地区的时间序列相似性匹配算法.软件学报,2006,17(2):185-192

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:March 30,2005
  • Revised:July 11,2005
  • Adopted:
  • Online:
  • Published:
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address:4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code:100190
Phone:010-62562563 Fax:010-62562533 Email:jos@iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063