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| Application of support vector machine to synthetic earthquake prediction |
| Chun Jiang1, Xueli Wei2, Xiaofeng Cui1, Dexiang You2 |
1 Earthquake Administration of Tianjin Municipality, Tianjin 300201, China
2 Tianjin University of Technology, Tianjin 300191, China |
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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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Received: 21 October 2008
Published: 10 June 2009
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| Fund:the Key Project of Science and Technology Supporting Plan of Tianjin Scientific Commission (No. 07ZCGYSF03100) |
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Corresponding Authors:
Chun Jiang
E-mail: jiangchun0806@hotmail.com
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