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Prediction of Mine Water Inflow Based on Support Vector Machine

Authors: Wenxue Wei; Longqing Shi; Xinming Lu; Feng Zhang;

Prediction of Mine Water Inflow Based on Support Vector Machine

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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