Historical Seismic Intensity Determination Method Based on Ant K-means clustering Algorithm

DOI

10.2991/sekeie-14.2014.27How to use a DOI?

Keywords

Historical seismic intensity; K-means clustering; Ant colony optimization; Exponential fitting

Abstract

Aiming at the subjectivity and ambiguity problems of historical seismic intensity determination, a k-means clustering determination method combined with ant algorithm is proposed in this paper. Intensity features are extracted based on the latest historical seismic intensity table and the quantization process of historical earthquake records is dynamically adjusted by using exponential fitting method. The sensitivity problem of initial cluster centers in k-means clustering is resolved by using ant algorithm. Simulation results prove that the proposed method has high accuracy and practicality.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenming Zhu
PY  - 2014/03
DA  - 2014/03
TI  - Historical Seismic Intensity Determination Method Based on Ant K-means clustering Algorithm
BT  - Proceedings of the 2nd International Conference on Software Engineering, Knowledge Engineering and Information Engineering (SEKEIE 2014)
PB  - Atlantis Press
SP  - 114
EP  - 117
SN  - 1951-6851
UR  - https://doi.org/10.2991/sekeie-14.2014.27
DO  - 10.2991/sekeie-14.2014.27
ID  - Zhu2014/03
ER  -