Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Study on Prediction Model of Roof Falling based on Crisis Signs in Coal Mine

Authors
Zhong-an Jiang, Ya Chen, Cong Tan
Corresponding Author
Zhong-an Jiang
Available Online November 2015.
DOI
https://doi.org/10.2991/itms-15.2015.69How to use a DOI?
Keywords
Prediction model: Roof falling: Crisis signs: BP neural network
Abstract
To effectively prevent roof falling to cause heavy losses in coal mine, the paper selected crisis signs as prediction indicators before roof disaster. Through counting and analyzing accident cases, twenty-three indicators were identified, which can be used for prediction. Given to the characteristic of these crisis indicators, BP neural network was determined as our prediction model and probability model was selected as our data model. The experimental results confirm the effectiveness of our proposed model.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Industrial Technology and Management Science
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/itms-15.2015.69How 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  - Zhong-an Jiang
AU  - Ya Chen
AU  - Cong Tan
PY  - 2015/11
DA  - 2015/11
TI  - Study on Prediction Model of Roof Falling based on Crisis Signs in Coal Mine
BT  - 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.69
DO  - https://doi.org/10.2991/itms-15.2015.69
ID  - Jiang2015/11
ER  -