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

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SP  - 289
EP  - 292
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.69
DO  - 10.2991/itms-15.2015.69
ID  - Jiang2015/11
ER  -