Prediction of mine gas emission rate based on the SVM model

Author(s):  
Wang Jianping ◽  
Huang Hongxia ◽  
Li Hongbiao ◽  
Zhang Yunsheng
2011 ◽  
Vol 24 ◽  
pp. 106-110 ◽  
Author(s):  
Liu Yang ◽  
Shi Qingjun ◽  
Li Jing ◽  
Ma Huibin ◽  
Liu Desheng

2018 ◽  
Vol 6 (3) ◽  
pp. 85-91 ◽  
Author(s):  
Liqiang Xu ◽  
Binguo Wang ◽  
Xuedong Du ◽  
Yongfa Hong

2018 ◽  
Vol 11 (16) ◽  
Author(s):  
Xiaowei Li ◽  
Chaojie Wang ◽  
Yujia Chen ◽  
Jun Tang ◽  
Yawei Li

2012 ◽  
Vol 616-618 ◽  
pp. 450-454 ◽  
Author(s):  
Hai Dong Meng ◽  
Dong Yuan Zang ◽  
Yu Chen Song

Because the variation of mine gas concentration is influenced by various factors, so it’s impossible for traditional prediction methods of mine gas emission to include all the factors. To solve the problem, the paper proposed a prediction method of mine gas emission based on AR model of time series analysis. The experiment results indicated that the method can predict mine gas emission accurately.


2013 ◽  
Vol 318 ◽  
pp. 379-384 ◽  
Author(s):  
Xiao Qiang Qin

In this paper a prediction model of mine gas emission base on continuous ant colony algorithm was presented aimed at the difficulty in prediction of mine gas emission. By comparing the measured data with the data calculated by the prediction model, indicated the model was accurate and credible.


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