基于随机森林的回采工作面瓦斯涌出量预测模型

汪明, 王建军. 基于随机森林的回采工作面瓦斯涌出量预测模型[J]. 煤矿安全, 2012, 43(8): 182-185.

引用本文:

汪明, 王建军. 基于随机森林的回采工作面瓦斯涌出量预测模型[J]. 煤矿安全, 2012, 43(8): 182-185.

WANG Ming, WANG Jian-Jun. Gas Emission Prediction Model of Stope Based on Random Forests[J]. Safety in Coal Mines, 2012, 43(8): 182-185.

Citation:

WANG Ming, WANG Jian-Jun. Gas Emission Prediction Model of Stope Based on Random Forests[J]. Safety in Coal Mines, 2012, 43(8): 182-185.

Gas Emission Prediction Model of Stope Based on Random Forests

摘要: 正确预测回采工作面瓦斯涌出量,对于煤炭企业安全生产具有重要意义。通过引入数据挖掘中的随机森林算法,构建了回采工作面瓦斯涌出量预测模型,研究表明该模型具有较好的预测效果。

Abstract: Correct prediction of gas emission in stope has an important significance for the safe production of coal enterprises.Through the introduction of random forest algorithm in data mining,the gas emission prediction model of stope is built.The study shows that the model has good prediction effects.

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