Seismic indicators based earthquake predictor system using Genetic Programming and AdaBoost classification

被引：53

作者：

Asim, Khawaja M. ^{[1
]}

Idris, Adnan ^{[2
]}

Iqbal, Talat ^{[1
]}

Martinez-Alvarez, Francisco ^{[3
]}

机构：

[1] Natl Ctr Phys, Ctr Earthquake Studies, Islamabad, Pakistan

[2] Univ Poonch, Dept Comp Sci & IT, Rawalakot, Pakistan

[3] Pablo de Olavide Univ Seville, Dept Comp Sci, Seville, Spain

来源：

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING | 2018年 / 111卷

关键词：

Earthquake predictor system; Seismic indicators; Genetic Programming; AdaBoost; Earthquake prediction; MAGNITUDE PREDICTION; NEURAL-NETWORKS; RADON;

D O I：

10.1016/j.soildyn.2018.04.020

中图分类号：

P5 [地质学];

学科分类号：

0709 ; 081803 ;

摘要：

In this study an earthquake predictor system is proposed by combining seismic indicators along with Genetic Programming (GP) and AdaBoost (GP-AdaBoost) based ensemble method. Seismic indicators are computed through a novel methodology in which, the indicators are computed to obtain maximum information regarding seismic state of the region. The computed seismic indicators are used with GP-AdaBoost algorithm to develop an Earthquake Predictor system (EP-GPBoost). The setup has been arranged to provide predictions for earthquakes of magnitude 5.0 and above, fifteen days prior to the earthquake. The regions of Hindukush, Chile and Southern California are considered for experimentation. The EP-GPBoost has produced noticeable improvement in earthquake prediction due to collaboration of strong searching and boosting capabilities of GP and AdaBoost, respectively. The earthquake predictor system shows enhanced results in terms of accuracy, precision and Matthews Correlation Coefficient for the three considered regions in comparison to contemporary results.

引用

页码：1 / 7

页数：7

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