| 基于Bayes判别分析法的煤与瓦斯突出预测研究 |
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| 引用本文： | 陆美宁,杨汶泉,赵晓霞. 基于Bayes判别分析法的煤与瓦斯突出预测研究[J]. 煤炭技术, 2011, 30(5) |
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| 作者姓名： | 陆美宁 杨汶泉 赵晓霞 |
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| 作者单位： | 1. 山东济宁花园煤矿有限公司,山东,金乡,272200
2. 昆明理工大学,国土资源工程学院,昆明,650093 |
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| 摘 要： | 建立了煤与瓦斯突出预测的Bayes判别模型,选用5项指标作为判别因子,将突出类型分为4个等级作为Bayes模型的正态总体,利用训练好的模型进行了实例预测。研究表明,Bayes判别模型是预测突出的有效方法。
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| 关 键 词： | 煤与瓦斯突出 Bayes判别分析 预测 |
Prediction of Coal and Gas Outburst Based on Bayes Discriminant Analysis Method |
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| LU Mei-ning,YANG Wen-quan,ZHAO Xiao-xia. Prediction of Coal and Gas Outburst Based on Bayes Discriminant Analysis Method[J]. Coal Technology, 2011, 30(5) |
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| Authors: | LU Mei-ning YANG Wen-quan ZHAO Xiao-xia |
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| Affiliation: | LU Mei-ning1,YANG Wen-quan1,ZHAO Xiao-xia2(1.Jining Huayuan Coal Mine Co.,Ltd.,Jinxiang 272200,China,2.Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093,China) |
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| Abstract: | Bayes discriminant model to predict the possibility and type of coal and gas outburst was established.Five influencing indexes were regarded as discriminant factors of the model.The degree of outburst was divided into four grades that were considered as four normal populations in Bayes model.The study results show that the classification model has excellent performance and high prediction accuracy. |
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| Keywords: | coal and gas outburst Bayes discriminant analysis prediction |
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