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September 10, 2025DÜMF Mühendislik DergisiOpen Access

Enhanced Earthquake Magnitude Prediction Using Hybrid Machine Learning and Deep Learning Models

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Hybrid models achieved the highest predictive accuracy compared to traditional models.
The best-performing model, Transformer + GP, resulted in an RMSE of 0.063 and R2 of 0.62.
Evaluation included metrics like RMSE and R2 across different machine learning and deep learning models.
Findings support the use of advanced models for better risk management in earthquake forecasting.

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This analysis showcases improved predictive accuracy for earthquake magnitudes using hybrid models and seismic data.

Gencer et al. (2025) studied this question.

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