[1]张炎亮刘阳王金凤.基于改进SVM的煤矿水灾害救援组织系统可靠性预测[J].郑州大学学报(工学版),2015,36(03):115-119.[doi:10.3969/ j.issn.1671 - 6833.2015.03.025]
　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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基于改进SVM的煤矿水灾害救援组织系统可靠性预测()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
36
期数:
2015年03期
页码:
115-119
栏目:
出版日期:
2015-06-30

文章信息/Info

Title:
Reliability Prediction of Coal Mine Water Disasters EmergencyRescue System Based on Improved SVM
作者:
张炎亮1刘阳2王金凤3
郑州大学管理工程学院,河南郑州450001
Author(s):
ZHANG Yan-liang; LIU Yang; WANG Jin-feng
School of Management and Engineering,Zhengzhou University ,Zhengzhou 450001 , China
关键词:
救援系统; 可靠性; 支持向量机; 粒子群; 预测
Keywords:
rescue system; reliability ;  support vector machine;  particle swarm; predication
分类号:
TD745
DOI:
10.3969/ j.issn.1671 - 6833.2015.03.025
文献标志码:
A
摘要:
为了评测煤矿水灾害救援组织系统可靠性,从事中控制、动态分析的角度,建立了衡量其可靠性的评价指标体系.同时,由于煤矿水灾害救援组织系统复杂多变、数据获取困难的特点,提出了一种基于粒子群优化支持向量机的煤矿水灾害救援组织系统可靠性预测模型,并通过改进粒子群算法优化支持向量机的参数,使预测结果更加精确;最后,通过案例实验证明了该模型的有效性.
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.

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