Feasibility of Principal Component Analysis for Multi-Class Earthquake Prediction Machine Learning Model Utilizing Geomagnetic Field Data

Feasibility of Principal Component Analysis for Multi-Class Earthquake Prediction Machine Learning Model Utilizing Geomagnetic Field Data

Geomagnetic field data have been found to contain earthquake (EQ) precursory signals; however, analyzing this high-resolution, imbalanced data presents challenges when implementing machine learning (ML). This study explored feasibility of principal component analyses (PCA) for reducing the dimension...

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Bibliographic Details
Main Authors: Kasyful Qaedi, Mardina Abdullah, Khairul Adib Yusof, Masashi Hayakawa
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Geosciences
Subjects:
principal component analysis (PCA)
ensemble
machine learning (ML)
earthquake (EQ) prediction
Online Access:https://www.mdpi.com/2076-3263/14/5/121

Internet

https://www.mdpi.com/2076-3263/14/5/121

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