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Abstract and Applied Analysis
Volume 2014 (2014), Article ID 459137, 8 pages
http://dx.doi.org/10.1155/2014/459137
Research Article

Nonlinear Methodologies for Identifying Seismic Event and Nuclear Explosion Using Random Forest, Support Vector Machine, and Naive Bayes Classification

1School of Resources and Safety Engineering, Central South University, Changsha 410083, China
2School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, 710129, China

Received 26 December 2013; Accepted 16 January 2014; Published 26 February 2014

Academic Editor: Carlo Cattani

Copyright © 2014 Longjun Dong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Longjun Dong, Xibing Li, and Gongnan Xie, “Nonlinear Methodologies for Identifying Seismic Event and Nuclear Explosion Using Random Forest, Support Vector Machine, and Naive Bayes Classification,” Abstract and Applied Analysis, vol. 2014, Article ID 459137, 8 pages, 2014. doi:10.1155/2014/459137