Stability Prediction of Coal Mine Water Disasters Emergency Rescue System Based on Support Vector Machine
Yan- liang Zhang, Yang Liu
Yan- liang Zhang
Available Online July 2015.
- https://doi.org/10.2991/icismme-15.2015.67How to use a DOI?
- rescue system; stability; support vector machine; particle swarm; predication
- 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.
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 -