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

DOI

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.

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  - 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  - Proceedings of the 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  - 10.2991/icismme-15.2015.67
ID  - Zhang2015/07
ER  -