【摘要】 为解决以往顶煤冒放性评价方法存在的计算过程复杂,不能生成评价规则而不便于推广的缺点,采用数据挖掘技术中决策树算法对30个矿井的顶煤冒放性进行分类研究,在此基础上生成了一棵顶煤冒放性评价决策树,并由此形成了一系列评价规则,最后就该算法的应用效果进行评价。更多还原

【Abstract】 Difficulty degrees of roof coal caving in 30 collieries are assorted by decision tree arithmetic in data mining technology. Based on this, an evaluation decision tree and a series of evaluation rules form, which are able to overcome the shortcomings of complicated calculation process and the inconvenience of the former evaluation methods practiced in collieries. Finally, the application effect of this method is assessed.更多还原