基于贝叶斯网络的煤与瓦斯突出预测研究

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (29): 220-221.

基于贝叶斯网络的煤与瓦斯突出预测研究

张克¹,汪云甲²

1.中国矿业大学计算机学院,江苏徐州 221116
2.中国矿业大学环测学院,江苏徐州 221116

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-10-11 发布日期:2007-10-11
通讯作者: 张克

Research of coal and gas outburst prediction based on Bayesian network model

ZHANG Ke¹,WANG Yun-jia²

1.Department of Computer Science and Technology,China University of Mining and Technology,Xuzhou,Jiangsu 221116 ,China
2.College of Environment Spatial Informatics,China University of Mining and Technology,Xuzhou,Jiangsu 221116,China

Received:1900-01-01 Revised:1900-01-01 Online:2007-10-11 Published:2007-10-11
Contact: ZHANG Ke

摘要/Abstract

摘要： 贝叶斯网络是目前不确定知识和推理领域最有效的理论模型之一。为了正确预测煤与瓦斯突出的危险性,提出了一种基于贝叶斯网络的煤与瓦斯突出预测方法。在综合影响煤与瓦斯突出的因素和领域专家知识的基础上建立了网络结构,通过对先验知识和样本数据的学习,实现了煤与瓦斯突出的预测,取得了较好的效果。实验表明,该模型网络学习速度快,准确性高,是一种有效的煤与瓦斯突出危险性预测方法。

Abstract: Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.In order to accurately predict the risk of coal and gas outburst,a coal and gas outburst prediction model based on Bayesian network has been put forward in the paper.The network model has been created on the basis of the factor in relation to coal and gas outburst and the knowledge of the field experts.After studying from the prototype data,the prediction of coal and gas outburst has been successfully achieved and has good results.The experiment demonstrates that the prediction model has a fast study speed and good prediction accuracy,which is an efficient way in predicting coal and gas outburst.

张克¹,汪云甲². 基于贝叶斯网络的煤与瓦斯突出预测研究[J]. 计算机工程与应用, 2007, 43(29): 220-221.

ZHANG Ke¹,WANG Yun-jia². Research of coal and gas outburst prediction based on Bayesian network model [J]. Computer Engineering and Applications, 2007, 43(29): 220-221.