摘要
采用C5.0决策树算法,以尾矿库事故因素为输入变量,以事故影响程度为输出变量,构筑尾矿库事故影响程度决策树。并根据影响程度决策树对尾矿库影响因素的重要性进行分析,为今后尾矿库建设运行提供参考。
Using C5.0 decision tree algorithm,taking the accident factors of tailings pond as the input variable and the accident influence degree as the output variable,the decision tree of the accident influence degree of tailings pond is constructed.According to the influence degree decision tree,the importance of influencing factors of tailings pond is analyzed,which provides reference for the construction and operation of tailings pond in the future.
作者
高峰
周积果
GAO Feng;ZHOU Jiguo
出处
《中国矿山工程》
2020年第4期67-69,82,共4页
China Mine Engineering
