Support Vector Machine Classification of Seismic Events in the Tianshan Orogenic Belt

Author:

Tang Lanlan12,Zhang Miao34,Wen Lianxing5

Affiliation:

1. Xiamen Institute of Marine Earthquake China Earthquake Administration Xiamen China

2. Laboratory of Seismology and Physics of Earth's Interior, School of Earth and Space Sciences University of Science and Technology of China Hefei China

3. Department of Geophysics Stanford University Stanford CA USA

4. Department of Earth Sciences Dalhousie University Halifax Nova Scotia Canada

5. Department of Geosciences State University of New York at Stony Brook Stony Brook New York USA

Funder

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Reference75 articles.

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2. Apolloni B.(2009).Support vector machines and MLP for automatic classification of seismic signals at Stromboli volcano. Paper presented at the Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets Vietri Sul Mare Salerno Italy May 28‐30 2009.

3. Analysis of seismic discrimination capabilities using regional data from western United States events;Bennett T.;Bulletin of the Seismological Society of America,1986

4. Continuous earthquake detection and classification using discrete Hidden Markov Models

5. Discriminating ripple‐fired explosions with high‐frequency (> 16 Hz) data;Carr D. B.;Bulletin of the Seismological Society of America,1998

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