Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

Stability Prediction of Coal Mine Water Disasters Emergency Rescue System Based on Support Vector Machine

Authors
Yan- liang Zhang, Yang Liu
Corresponding Author
Yan- liang Zhang
Available Online July 2015.
DOI
https://doi.org/10.2991/icismme-15.2015.67How to use a DOI?
Keywords
rescue system; stability; support vector machine; particle swarm; predication
Abstract
In order to effectively improve the stability of the coal mine water disasters emergency rescue system, the establishment 0f the index system to measure the stability standing on the view of mid-control and dynamic analysis, which includes six elements: personnel quality factor capital factor management factor information elements machine elements and geological environment. As well, aiming at the characteristic of complex and data acquisition difficulty of coal miner rescue system, proposed a forecasting model of the stability of the coal mine water disasters emergency rescue system based on improved particle swarm optimization and support vector machine (IPSO-SVM). Finally, test the validity of the model through the case experiment.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
First International Conference on Information Sciences, Machinery, Materials and Energy
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/icismme-15.2015.67How 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  - Yan- liang Zhang
AU  - Yang Liu
PY  - 2015/07
DA  - 2015/07
TI  - Stability Prediction of Coal Mine Water Disasters Emergency Rescue System Based on Support Vector Machine
BT  - First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 339
EP  - 344
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.67
DO  - https://doi.org/10.2991/icismme-15.2015.67
ID  - Zhang2015/07
ER  -