Seismic Events Prediction Using Deep Temporal Convolution Networks
Joint Authors
Geng, Yue
Su, Lingling
Jia, Yunhong
Han, Ce
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-04-02
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Abstract EN
Seismic events prediction is a crucial task for preventing coal mine rock burst hazards.
Currently, this task attracts increasing research enthusiasms from many mining experts.
Considering the temporal characteristics of monitoring data, seismic events prediction can be abstracted as a time series prediction task.
This paper contributes to address the problem of long-term historical dependence on seismic time series prediction with deep temporal convolution neural networks (CNN).
We propose a dilated causal temporal convolution network (DCTCNN) and a CNN long short-term memory hybrid model (CNN-LSTM) to forecast seismic events.
In particular, DCTCNN is designed with dilated CNN kernels, causal strategy, and residual connections; CNN-LSTM is established in a hybrid modeling way by utilizing advantage of CNN and LSTM.
Based on these manners, both of DCTCNN and CNN-LSTM can extract long-term historical features from the monitoring seismic data.
The proposed models are experimentally tested on two real-life coal mine seismic datasets.
Furthermore, they are also compared with one traditional time series prediction method, two classic machine learning algorithms, and two standard deep learning networks.
Results show that DCTCNN and CNN-LSTM are superior than the other five algorithms, and they successfully complete the seismic prediction task.
American Psychological Association (APA)
Geng, Yue& Su, Lingling& Jia, Yunhong& Han, Ce. 2019. Seismic Events Prediction Using Deep Temporal Convolution Networks. Journal of Electrical and Computer Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1173796
Modern Language Association (MLA)
Geng, Yue…[et al.]. Seismic Events Prediction Using Deep Temporal Convolution Networks. Journal of Electrical and Computer Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1173796
American Medical Association (AMA)
Geng, Yue& Su, Lingling& Jia, Yunhong& Han, Ce. Seismic Events Prediction Using Deep Temporal Convolution Networks. Journal of Electrical and Computer Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1173796
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173796