Support Vector Machine LIBSVM Method for Identifying Natural Earthquakes, Blasting and Collapse
Abstract In this paper, we carry out wavelet transform of natural earthquakes, blasting and collapse. The support vector classifier LIBSVM multi-class pattern recognition method is used to classify Shannon entropy characteristics, and the recognition rate is between 80% and 95%. The results show that the method of classification of waveform features by LIBSVM can be used to identify natural earthquakes, blasting and collapse.
Key words :
support vector machine
Shannon entropy
wavelet analysis
feature vector
classification recognition
Cite this article:
FAN Xiaoyi,QU Junhao,QU Bao’an et al. Support Vector Machine LIBSVM Method for Identifying Natural Earthquakes, Blasting and Collapse[J]. jgg, 2019, 39(9): 916-918.
FAN Xiaoyi,QU Junhao,QU Bao’an et al. Support Vector Machine LIBSVM Method for Identifying Natural Earthquakes, Blasting and Collapse[J]. jgg, 2019, 39(9): 916-918.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2019/V39/I9/916
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