摘要
顶煤的冒放性好坏直接决定综采放顶煤工艺的使用效果 ,已经有多种方法对顶煤冒放性做出评价 ,但这些方法都不能生成评价规则 ,尝试采用数据挖掘中 ID3算法对 3 0个矿井的顶煤冒放性进行分类研究 ,在此基础上生成一棵决策树 ,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 .
Difficulty degrees of roof coal caving in 30 collieries are assorted by ID3 arithmetic in data mining technology. Based on this, an evaluation decision tree and a series of evaluation rules form, which resolves the shortcoming of complicated calculation process and inconvenient extend to collieries in past evaluation methods. Finally, application effect of this method is assessed.
出处
《数学的实践与认识》
CSCD
北大核心
2004年第11期71-75,共5页
Mathematics in Practice and Theory
基金
安徽省自然科学基金资助项目 (0 0 0 471 1 1 )
