Using random forest for the risk assessment of coal-floor water inrush in Panjiayao Coal Mine, northern China
Abstract
Coal-floor water-inrush incidents account for a large proportion of coal mine disasters in northern China, and accurate risk assessment is crucial for safe coal production. A novel and promising assessment model for water inrush is proposed based on random forest (RF), which is a powerful intelligent machine-learning algorithm. RF has considerable advantages, including high classification accuracy and the capability to evaluate the importance of...
Paper Details
Title
Using random forest for the risk assessment of coal-floor water inrush in Panjiayao Coal Mine, northern China
Published Date
Apr 13, 2018
Journal
Volume
26
Issue
7
Pages
2327 - 2340
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