Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural Networks
Earthquake magnitude prediction is critical in seismology, with significant implications for disaster risk management and mitigation. This study presents a novel earthquake magnitude prediction model by integrating regression analysis with Convolutional Recurrent Neural Networks (CRNNs). It utilises...
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| Format: | Article |
| Language: | English |
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Ikatan Ahli Informatika Indonesia
2024-08-01
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| Series: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
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| Online Access: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/5922 |
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| author | Asep Id Hadiana Rifaz Muhammad Sukma Eddie Krishna Putra |
| author_facet | Asep Id Hadiana Rifaz Muhammad Sukma Eddie Krishna Putra |
| author_sort | Asep Id Hadiana |
| collection | DOAJ |
| description | Earthquake magnitude prediction is critical in seismology, with significant implications for disaster risk management and mitigation. This study presents a novel earthquake magnitude prediction model by integrating regression analysis with Convolutional Recurrent Neural Networks (CRNNs). It utilises Convolutional Neural Networks (CNNs) for spatial feature extraction from 2-dimensional seismic signal images and Long Short-Term Memory (LSTM) networks to capture temporal dependencies. The innovative model architecture incorporates residual connections and specialised regression techniques for sequential data. Validated against a comprehensive seismic dataset, the model achieves a Mean Squared Error (MSE) of 0.1909 and a Root Mean Squared Error (RMSE) of 0.4369, with a coefficient of determination of 0.79772. These metrics, alongside a correlation coefficient of 0.8980, demonstrate the model's accuracy and consistency in predicting earthquake magnitudes, establishing its potential for enhancing seismic risk assessment and informing early warning systems. |
| format | Article |
| id | doaj-art-1d2639944b4e46a0b2a7c69906ccff6b |
| institution | Kabale University |
| issn | 2580-0760 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Ikatan Ahli Informatika Indonesia |
| record_format | Article |
| series | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| spelling | doaj-art-1d2639944b4e46a0b2a7c69906ccff6b2025-01-13T03:33:02ZengIkatan Ahli Informatika IndonesiaJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)2580-07602024-08-018457157810.29207/resti.v8i4.59225922Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural NetworksAsep Id Hadiana0Rifaz Muhammad Sukma1Eddie Krishna Putra2Universitas Jenderal Achmad YaniUniversitas Jenderal Achmad YaniUniversitas Jenderal Achmad YaniEarthquake magnitude prediction is critical in seismology, with significant implications for disaster risk management and mitigation. This study presents a novel earthquake magnitude prediction model by integrating regression analysis with Convolutional Recurrent Neural Networks (CRNNs). It utilises Convolutional Neural Networks (CNNs) for spatial feature extraction from 2-dimensional seismic signal images and Long Short-Term Memory (LSTM) networks to capture temporal dependencies. The innovative model architecture incorporates residual connections and specialised regression techniques for sequential data. Validated against a comprehensive seismic dataset, the model achieves a Mean Squared Error (MSE) of 0.1909 and a Root Mean Squared Error (RMSE) of 0.4369, with a coefficient of determination of 0.79772. These metrics, alongside a correlation coefficient of 0.8980, demonstrate the model's accuracy and consistency in predicting earthquake magnitudes, establishing its potential for enhancing seismic risk assessment and informing early warning systems.https://jurnal.iaii.or.id/index.php/RESTI/article/view/5922magnitude predictioncrnnregression techniquesseismic data analysismachine learning |
| spellingShingle | Asep Id Hadiana Rifaz Muhammad Sukma Eddie Krishna Putra Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural Networks Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) magnitude prediction crnn regression techniques seismic data analysis machine learning |
| title | Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural Networks |
| title_full | Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural Networks |
| title_fullStr | Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural Networks |
| title_full_unstemmed | Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural Networks |
| title_short | Advanced Earthquake Magnitude Prediction Using Regression and Convolutional Recurrent Neural Networks |
| title_sort | advanced earthquake magnitude prediction using regression and convolutional recurrent neural networks |
| topic | magnitude prediction crnn regression techniques seismic data analysis machine learning |
| url | https://jurnal.iaii.or.id/index.php/RESTI/article/view/5922 |
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