Research on Earthquake Discrimination and Magnitude Prediction Based on Fourier Power Spectrum Sample Entropy and Machine Learning Algorithm
Yuan Gao,
Shuang Xu,
Fei Wang
Abstract:In this paper, the characteristics of seismic wave data are extracted mainly through windowed Fourier transform and power spectrum sample entropy. A support vector machine classification model and random forest regression model are respectively established to classify seismic events and predict the grade of the earthquake. The results showed that for earthquake discrimination, the accuracy of the test set reached 82.7%; For grade prediction, the MAE reached 0.58. Therefore, classification support vector machin… Show more
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