Title :
Prediction of mine gas emission rate based on the SVM model
Author :
Jianping, Wang ; Hongxia, Huang ; Hongbiao, Li ; Yunsheng, Zhang
Author_Institution :
Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming
Abstract :
In allusion to the actuality that the samples of influence factors on gas emission rate are few now, this paper gives out a predicting method for mine gas emission based on support vector machine (SVM) theory, building a SVM model of mine gas emission from nonlinear forecasting. Comparing to the other forecasting methods, the result shows that this model has more precision.
Keywords :
air pollution; forecasting theory; mining; support vector machines; SVM model; mine gas emission rate prediction; nonlinear forecasting; support vector machine theory; Automation; Civil engineering; Ear; Educational institutions; Electronic mail; Forestry; Machinery; Predictive models; Support vector machines; Technology forecasting; Forecast; Gas Emission Rate; Support Vector Machine;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605502
