Research Article Open Access

A New Algorithm for Earthquake Prediction Using Machine Learning Methods

Nada Badr Jarah1, Abbas Hanon Hassin Alasadi2 and Kadhim Mahdi Hashim3
  • 1 Department of Computer Science, College of Computer Sciences and Maths, University of Kufa, Iraq
  • 2 Department of Computer Information Systems, College of Computer Sciences and Information Technology, University of Basrah, Basrah, Iraq
  • 3 Department of Technology Engineering College of Information Technology, Imam Ja'afar Al-Sadiq University, Baghdad, Iraq

Abstract

Seismic tremors are among the foremost perilous normal fiascos individuals confront due to their event without earlier caution and their effect on their lives and properties. In expansion, to consider future disaster prevention measures for major earthquakes, it is necessary to predict earthquakes using Neural Networks (NN). A machine learning technique has developed a technology to predict earthquakes from ground controller data by measuring ground vibration and transmitting data by a sensor network. Devices to process this data and record it in a catalog of seismic data from 1900-2019 for Iraq and neighboring regions, then divide this data into 80% training data and 20% test data. It gave better results than other prediction algorithms, where the NN model performs better Seismic prediction than other machine learning methods.

Journal of Computer Science
Volume 20 No. 2, 2024, 150-156

DOI: https://doi.org/10.3844/jcssp.2024.150.156

Submitted On: 7 July 2023 Published On: 23 December 2023

How to Cite: Jarah, N. B., Alasadi, A. H. H. & Hashim, K. M. (2024). A New Algorithm for Earthquake Prediction Using Machine Learning Methods. Journal of Computer Science, 20(2), 150-156. https://doi.org/10.3844/jcssp.2024.150.156

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Keywords

  • Earthquakes
  • Neural Networks
  • Machine Learning
  • Prediction
  • Earthquakes Data