Time Series Prediction of Microseismic Multi-parameter Related to Rockburst Based on Deep Learning
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Time Series Prediction of Microseismic Multi-parameter Related to Rockburst Based on Deep Learning
Authors
Keywords
-
Journal
ROCK MECHANICS AND ROCK ENGINEERING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-08-21
DOI
10.1007/s00603-021-02614-9
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Excavation-induced microseismicity and rockburst occurrence: Similarities and differences between deep parallel tunnels with alternating soft-hard strata
- (2021) Guang-liang Feng et al. Journal of Central South University
- Microseismic monitoring of rockbursts with the ensemble Kalman filter
- (2021) A. Cecilia Dip et al. Near Surface Geophysics
- Microseismic Monitoring and Experimental Study on Mechanism of Delayed Rockburst in Deep-Buried Tunnels
- (2020) Shichao Zhang et al. ROCK MECHANICS AND ROCK ENGINEERING
- Identifying microseismic events in a mining scenario using a convolutional neural network
- (2020) Andy H. Wilkins et al. COMPUTERS & GEOSCIENCES
- Using machine learning approach for microseismic events recognition in underground excavations: Comparison of ten frequently-used models
- (2020) Yuanyuan Pu et al. ENGINEERING GEOLOGY
- A novel Deep Learning Framework: Prediction and Analysis of Financial Time Series using CEEMD and LSTM
- (2020) Yong'an Zhang et al. EXPERT SYSTEMS WITH APPLICATIONS
- An automatic classification method for microseismic events and blasts during rock excavation of underground caverns
- (2020) Ruochen Jiang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- A new hybrid financial time series prediction model
- (2020) Bashar Alhnaity et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Short-term rockburst risk prediction using ensemble learning methods
- (2020) Weizhang Liang et al. Natural Hazards
- Microseismic Signal Denoising and Separation Based on Fully Convolutional Encoder–Decoder Network
- (2020) Hang Zhang et al. Applied Sciences-Basel
- First arrival picking of microseismic signals based on nested U-Net and Wasserstein Generative Adversarial Network
- (2020) JingLan Zhang et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Microseismic monitoring and deformation early warning of the underground caverns of Lianghekou hydropower station, Southwest China
- (2019) Peiwei Xiao et al. Arabian Journal of Geosciences
- Rockburst and microseismic characteristics around lithological interfaces under different excavation directions in deep tunnels
- (2019) Peng-Xiang Li et al. ENGINEERING GEOLOGY
- Microseismic and precursor analysis of high-stress hazards in tunnels: A case comparison of rockburst and fall of ground
- (2019) Chunchi Ma et al. ENGINEERING GEOLOGY
- Rockburst prediction and stability analysis of the access tunnel in the main powerhouse of a hydropower station based on microseismic monitoring
- (2019) Ruixiong Xue et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Deep learning with long short-term memory networks for financial market predictions
- (2018) Thomas Fischer et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Study of the Rock Mass Failure Process and Mechanisms During the Transformation from Open-Pit to Underground Mining Based on Microseismic Monitoring
- (2018) Yong Zhao et al. ROCK MECHANICS AND ROCK ENGINEERING
- Prediction of rockburst in tunnels at the Jinping II hydropower station using microseismic monitoring technique
- (2018) Fei Liu et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Characterizing Rockbursts Along a Structural Plane in a Tunnel of the Hanjiang-to-Weihe River Diversion Project by Microseismic Monitoring
- (2018) Fei Liu et al. ROCK MECHANICS AND ROCK ENGINEERING
- Deep learning for short-term traffic flow prediction
- (2017) Nicholas G. Polson et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Microseismic early warning of surrounding rock mass deformation in the underground powerhouse of the Houziyan hydropower station, China
- (2017) Feng Dai et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Effective Spectral and Excitation Modeling Techniques for LSTM-RNN-Based Speech Synthesis Systems
- (2017) Eunwoo Song et al. IEEE-ACM Transactions on Audio Speech and Language Processing
- Real-time microseismic monitoring and its characteristic analysis in working face with high-intensity mining
- (2016) Yang Li et al. JOURNAL OF APPLIED GEOPHYSICS
- Feasibility of stochastic gradient boosting approach for predicting rockburst damage in burst-prone mines
- (2016) Jian ZHOU et al. TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
- Discrimination of Mine Seismic Events and Blasts Using the Fisher Classifier, Naive Bayesian Classifier and Logistic Regression
- (2015) Longjun Dong et al. ROCK MECHANICS AND ROCK ENGINEERING
- A Microseismic Method for Dynamic Warning of Rockburst Development Processes in Tunnels
- (2014) Guang-Liang Feng et al. ROCK MECHANICS AND ROCK ENGINEERING
- Combining Long Short-Term Memory and Dynamic Bayesian Networks for Incremental Emotion-Sensitive Artificial Listening
- (2010) Martin Wollmer et al. IEEE Journal of Selected Topics in Signal Processing
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now