Classification of Seismic Events and Quarry Blasts Using Singular Value Decomposition and Support Vector Machine-Reference-Cited by-同舟云学术

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Classification of Seismic Events and Quarry Blasts Using Singular Value Decomposition and Support Vector Machine

Published:2016-12-22 Issue:1 Volume:45 Page:20160136
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Li X. B.¹,Shang X. Y.²,Peng K.³⁴

Affiliation:

1. School of Resources and Safety Engineering, Central South Univ., Changsha 410083, CN, e-mail: xbli@mail.csu.edu.cn

2. School of Resources and Safety Engineering, Central South Univ., Changsha 410083, CN, e-mail: shangxueyi@csu.edu.cn

3. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Univ., Chongqing 400044, CN

4. College of Resources and Environmental Science, Chongqing Univ., Chongqing 400030, CN (Corresponding author), e-mail: pengkang@cqu.edu.cn

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A classification model for signals of seismic events based on vision transformer;Second International Conference on Informatics, Networking, and Computing (ICINC 2023);2024-04-04

2. Analysis of Identification of Seismic Event Properties Based On the permutation entropy of the Variational mode decomposition and support vector machine optimized by pelican optimization algorithm;Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security;2023-12-22

3. UACNet: A universal automatic classification network for microseismic signals regardless of waveform size and sampling rate;Engineering Applications of Artificial Intelligence;2023-11

4. ANQDS: a MATLAB based graphical user interface developed for discrimination of the natural and artificial seismic events;Earth Science Informatics;2023-08-15

5. Identifying the source types of the seismic events using discriminant functions and tree-based machine learning algorithms at Soma Region, Turkey;Environmental Earth Sciences;2023-05-17

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