Earthquake Prediction using Convolutional Neural Network

Q4 Engineering
G. Singh
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引用次数: 1

Abstract

Due to natural processes of the earth, some major adverse events can occur like earthquakes, tsunamis, storms, fire storms, dust storms, floods, tornadoes, volcanic eruptions hurricanes etc. which can result into financial, environmental or human losses. An earthquake in a populated area may result into not only extensive damage to property but also to huge casualties and injuries. Thus prediction of earthquake is very necessary to avoid these losses. Convolution Neural Network (CNN) applied to earthquake prediction has been reviewed here.
基于卷积神经网络的地震预测
由于地球的自然过程,一些重大的不利事件可能发生,如地震、海啸、风暴、火灾、沙尘暴、洪水、龙卷风、火山爆发、飓风等,可能导致经济、环境或人类的损失。在人口稠密地区发生地震,不仅会造成广泛的财产损失,而且会造成巨大的人员伤亡。因此,地震预报对于避免这些损失是非常必要的。本文综述了卷积神经网络(CNN)在地震预报中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Disaster Advances
Disaster Advances 地学-地球科学综合
CiteScore
0.70
自引率
0.00%
发文量
57
审稿时长
3.5 months
期刊介绍: Information not localized
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