Abstract
This paper introduces the method of support vector machine (SVM) into the field of synthetic earthquake prediction, which is a non-linear and complex seismogenic system. As an example, we apply this method to predict the largest annual magnitude for the North China area (30°E–42°E, 108°N–125°N) and the capital region (38°E–41.5°E, 114°N–120°N) on the basis of seismicity parameters and observed precursory data. The corresponding prediction rates for the North China area and the capital region are 64.1% and 75%, respectively, which shows that the method is feasible.
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Jiang, C., Wei, X., Cui, X. et al. Application of support vector machine to synthetic earthquake prediction. Earthq Sci 22, 315–320 (2009). https://doi.org/10.1007/s11589-009-0315-8
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DOI: https://doi.org/10.1007/s11589-009-0315-8