Prediction of earthquake by machine learning models and neural network

The occurrence of earthquakes has been examined from many aspects. Obviously, earthquakes occur without any warning and can damage entire cities in just a moment, causing enormous casualties and large amount of economic loss. In the last few years, people have given great effort to examine the earth...

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Main Author: Xu Bohong
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:ITM Web of Conferences
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_04026.pdf
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author Xu Bohong
author_facet Xu Bohong
author_sort Xu Bohong
collection DOAJ
description The occurrence of earthquakes has been examined from many aspects. Obviously, earthquakes occur without any warning and can damage entire cities in just a moment, causing enormous casualties and large amount of economic loss. In the last few years, people have given great effort to examine the earthquake from many aspects with various methods. The use of machine learning has solved seemingly intractable problems, inspiring the prospect of finding suitable solutions to dilemmas that are now considered unsolvable. Earthquake prediction, in this article, is executed with a neural network and machine learning models. After reading many articles, the author discovered that not many articles use a fully connected neural network to predict earthquake magnitude. In this article, the author first process the dataset sought from the internet, then predict the magnitude and the alert of earthquakes, with four machine learning models and a neural network. After that, the result of the accuracy are shown at the end of the article.
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institution Kabale University
issn 2271-2097
language English
publishDate 2025-01-01
publisher EDP Sciences
record_format Article
series ITM Web of Conferences
spelling doaj-art-524910d4316b452bb736c158a78e6a5b2025-02-07T08:21:11ZengEDP SciencesITM Web of Conferences2271-20972025-01-01700402610.1051/itmconf/20257004026itmconf_dai2024_04026Prediction of earthquake by machine learning models and neural networkXu Bohong0School of Artificial Intelligence, South China Normal UniversityThe occurrence of earthquakes has been examined from many aspects. Obviously, earthquakes occur without any warning and can damage entire cities in just a moment, causing enormous casualties and large amount of economic loss. In the last few years, people have given great effort to examine the earthquake from many aspects with various methods. The use of machine learning has solved seemingly intractable problems, inspiring the prospect of finding suitable solutions to dilemmas that are now considered unsolvable. Earthquake prediction, in this article, is executed with a neural network and machine learning models. After reading many articles, the author discovered that not many articles use a fully connected neural network to predict earthquake magnitude. In this article, the author first process the dataset sought from the internet, then predict the magnitude and the alert of earthquakes, with four machine learning models and a neural network. After that, the result of the accuracy are shown at the end of the article.https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_04026.pdf
spellingShingle Xu Bohong
Prediction of earthquake by machine learning models and neural network
ITM Web of Conferences
title Prediction of earthquake by machine learning models and neural network
title_full Prediction of earthquake by machine learning models and neural network
title_fullStr Prediction of earthquake by machine learning models and neural network
title_full_unstemmed Prediction of earthquake by machine learning models and neural network
title_short Prediction of earthquake by machine learning models and neural network
title_sort prediction of earthquake by machine learning models and neural network
url https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_04026.pdf
work_keys_str_mv AT xubohong predictionofearthquakebymachinelearningmodelsandneuralnetwork