Reliability Prediction of Coal Mine Water Disasters EmergencyRescue System Based on Improved SVM
[1]ZHANG Yan-liang,LIU Yang,WANG Jin-feng.Reliability Prediction of Coal Mine Water Disasters EmergencyRescue System Based on Improved SVM[J].Journal of Zhengzhou University (Engineering Science),2015,36(03):115-119.[doi:10.3969/ j.issn.1671 - 6833.2015.03.025]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
36卷
Number of periods:
2015 03
Page number:
115-119
Column:
Public date:
2015-06-30
- Title:
- Reliability Prediction of Coal Mine Water Disasters EmergencyRescue System Based on Improved SVM
- Keywords:
- rescue system; reliability ; support vector machine; particle swarm; predication
- CLC:
- TD745
- DOI:
- 10.3969/ j.issn.1671 - 6833.2015.03.025
- Abstract:
- In order to predict the reliability of the coal mine water disasters emergency rescue system effectively,this paper establishes the stability index system from the view of mid-control and dynamic analysis.At thesame time, as the coal mine water disasters emergency rescue system is complex and the related data is diffi-cult to get,this paper puts forward a forecasting model of the stability of the coal mine water disasters emergen-cy rescue system on the basis of improved particle swarm optimization and support vector machine.The predic-tion results will be more accurate through the optimization of the parameters of SVM based on improved particleswarm algorithm. Finally,the model is proved to be effective through the case experiment.
- References:
- -
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