Thickness Distribution Prediction for Tectonically Deformed Coal with a Deep Belief Network: A Case Study
Thickness of tectonically deformed coal (TDC) has positive correlations with the susceptible gas outbursts in coal mines. To predict the TDC thickness of the coalbed, we proposed a prediction method using seismic attributes based on the deep belief network (DBN) and dimensionality reduction. Firstly...
Main Authors: | Xin Wang, Tongjun Chen, Hui Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/5/1169 |
Similar Items
-
Study of Precipitation Forecast Based on Deep Belief Networks
by: Jinglin Du, et al.
Published: (2018-09-01) -
Conceptualisation of Cyberattack prediction with deep learning
by: Ayei E. Ibor, et al.
Published: (2020-06-01) -
A new method for enhancer prediction based on deep belief network
by: Hongda Bu, et al.
Published: (2017-10-01) -
A Deep Belief Network Based Model for Urban Haze Prediction
by: Jingjing Song, et al.
Published: (2018-01-01) -
CMOS time-to-digital converters for mixed-mode signal processing
by: Fei Yuan
Published: (2014-04-01)