基于地震指标的机器学习算法预测孟加拉国地震震级

Nafizul Islam, A. Khan, M. Munir, Abul Kalam Azad, Tanvir Mustafy
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引用次数: 0

摘要

地震是最难以预料和最具灾难性的自然灾害。由于地震的复杂性,地震的早期预测具有挑战性。但是,预测未来地震的发生时间、震级和震中位置一直是近年来研究的主题。最近在地震工程领域开始使用机器学习过程[1]。它在处理复杂问题和促进决策方面具有优势,这可能很快就会发生变化[2,3,4]。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Seismic Indicators Based Earthquake Magnitude Prediction for Bangladesh Using Machine Learning Algorithms
Introduction Earthquakes are the most unanticipated and catastrophic natural disasters. Due to its complex nature, it is challenging to predict earthquakes early. But the prediction of the time of occurrence, magnitude, and epicentral location of future earthquakes has been the subject of study in recent years. The use of the machine learning process has recently started in the field of Earthquake Engineering [1]. It offers advantages in handling complex problems and facilitates decision making which may evolve shortly [2, 3, 4].
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