Research on coal mine gas prediction algorithm based on improved svm

被引:0
|
作者
Wang, Zhi-Yi [1 ]
机构
[1] Yulin Univ, Yulin, Shanxi, Peoples R China
来源
AGRO FOOD INDUSTRY HI-TECH | 2017年 / 28卷 / 01期
关键词
Improved SVM; coal mine gas; gas prediction; prediction algorithm; ARTIFICIAL NEURAL-NETWORKS;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
China's coal mine gas mining accident rate has been ranked in the forefront of the world, its security issues have been the focus of our attention and research direction. Therefore, this paper proposes an improved SVM coal mine gas prediction algorithm research. In this paper, China coal mine gas prediction algorithm and the status of the development of coal mine gas prediction algorithm based on improved SVM were elaborated, and through the analysis of the experimental data, the model structure which based on the improvement of the SVM coal mine prediction algorithm was got, the prediction accuracy and generalization function were improved effectively, the error value was reduced greatly, and the safety factor of coal mine gas mining was improved.
引用
收藏
页码:1729 / 1733
页数:5
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