Proceedings of the 8th Russian-Chinese Symposium “Coal in the 21st Century: Mining, Processing, Safety"

Roadway Support Optimization by Improved BP Neural Network and Numerical Simulation

Authors
Wang Jun, Tan Yunliang
Corresponding Author
Wang Jun
Available Online October 2016.
DOI
https://doi.org/10.2991/coal-16.2016.3How to use a DOI?
Keywords
Improved BP Neural Network; Numerical Simulation; Support Scheme; Optimal selection; Forecasting
Abstract
Based on the analysis of the influence factors of the stability of roadway, we firstly collected the roadway support parameters of some roadways with good supporting effect and used them as the training samples of BP neural network. Then, we simulated the deformations of the forecasting samples and compared with the actual results to examine the accuracy of the supports scheme. At last, the optimal support scheme of No.3306 haulage roadway at Xinan Coal Mine, China was predicted by using improved BP neural network and it was verified by using the FLAC3D numerical simulation. The results showed that the model established by improved BP neural network has fast convergence, high accuracy and good stability ,and it could effectively predicted the roadway deformation and provided scientific basis for the supporting design of roadway
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Proceedings
8th Russian-Chinese Symposium “Coal in the 21st Century: Mining, Processing, Safety"
Publication Date
October 2016
ISBN
978-94-6252-233-6
DOI
https://doi.org/10.2991/coal-16.2016.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wang Jun
AU  - Tan Yunliang
PY  - 2016/10
DA  - 2016/10
TI  - Roadway Support Optimization by Improved BP Neural Network and Numerical Simulation
BT  - 8th Russian-Chinese Symposium “Coal in the 21st Century: Mining, Processing, Safety"
PB  - Atlantis Press
UR  - https://doi.org/10.2991/coal-16.2016.3
DO  - https://doi.org/10.2991/coal-16.2016.3
ID  - Jun2016/10
ER  -