Application of Artificial Bee Colony algorithm in TEC seismo-ionospheric anomalies detection

被引：7
|
作者：
Akhoondzadeh, M. [1 ]
机构：
[1] Univ Tehran, Univ Coll Engn, Surveying & Geomat Engn Dept, Remote Sensing Div, Tehran, Iran
来源：
ADVANCES IN SPACE RESEARCH | 2015年 / 56卷 / 06期
关键词：
TEC; Earthquake; Precursor; Anomaly detection; EARTHQUAKES;
D O I：
10.1016/j.asr.2015.06.024
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
In this study, the efficiency of Artificial Bee Colony (ABC) algorithm is investigated to detect the TEC (Total Electron Content) seismo-ionospheric anomalies around the time of some strong earthquakes including Chile (27 February 2010; 01 April 2014), Varzeghan (11 August 2012), Saravan (16 April 2013) and Papua New Guinea (29 March 2015). In comparison with other anomaly detection algorithms, ABC has a number of advantages which can be numerated as (1) detection of discord patterns in a large non linear data during a short time, (2) simplicity, (3) having less control parameters and (4) efficiently for solving multimodal and multidimensional optimization problems. Also the results of this study acknowledge the TEC time-series as a robust earthquake precursor. (C) 2015 COSPAR. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：1200 / 1211
页数：12
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