Title :
Prediction of Mine Water Inflow Based on Support Vector Machine
Author :
Wei, Wenxue ; Shi, Longqing ; Lu, Xinming ; Zhang, Feng
Author_Institution :
Shandong Univ. of Sci. & Technol., Qingdao, China
Abstract :
The prediction of water inflow is significant to the preventing and controlling water of mine pit. In this paper SVM is applied to the prediction of water inflow, and the workflow and prediction model is given. Combing with the practical demands, a prediction was made about water inflow of a new working face. The result shows that the maximum value of water inflow of the new mining face is higher than that of a mining face already mined, and the prediction result has been verified in the mining process of the new working face.
Keywords :
flow control; mining; support vector machines; SVM; mine pit; mine water inflow control; mining process; prediction model; support vector machine; workflow model; Coal; Data models; Face; Geology; Mathematical model; Predictive models; Support vector machines; SVM; prediction of water inflow; water inflow of mine;
Conference_Titel :
Digital Media and Digital Content Management (DMDCM), 2011 Workshop on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4577-0271-6
Electronic_ISBN :
978-0-7695-4413-7
DOI :
10.1109/DMDCM.2011.17
