[1]丁 华,王 剑,王 彬.基于灰关联分析和神经网络的煤与瓦斯突出预测[J].西安科技大学学报,2009,(02):136-139.
 DING Hua,WANG Jian,WANG Bin.Coal and gas outburst forecast based on ANN and grey correlation[J].Journal of Xi'an University of Science and Technology,2009,(02):136-139.
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基于灰关联分析和神经网络的煤与瓦斯突出预测()
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西安科技大学学报[ISSN:1672-9315/CN:61-1434/N]

卷:
期数:
2009年02期
页码:
136-139
栏目:
出版日期:
2009-04-11

文章信息/Info

Title:
Coal and gas outburst forecast based on ANN and grey correlation
文章编号:
1672-9315(2009)02-0136-04
作者:
丁 华1王 剑2王 彬3
1.太原理工大学 理学院,山西 太原 030024; 2.山西省煤炭票证管理中心,山西 太原 030006; 3.中国矿业大学 应用技术学院,江苏 徐州 221008
Author(s):
DING Hua1 WANG Jian2 WANG Bin3
1.College of Sciences,Taiyuan University of Technology, Taiyuan 030024,China; 2.Shanxi Coal Mine Economized Detection Center, Taiyuan 030006,China; 3.Collge of Applied Science and Technology, China University of Mining and Technology,Xuzhou 221008,China
关键词:
煤与瓦斯突出 灰关联分析 神经网络
Keywords:
coal and gas outburst grey correlation analysis neural network
分类号:
TD712+.5
文献标志码:
A
摘要:
应用灰色关联分析,对煤与瓦斯突出影响因素进行灰关联分析,得出了各影响因素对煤与瓦斯突出影响程度的大小排序; 选择灰关联分析的5个优势因子作为输入参数,建立了煤与瓦斯突出预测的神经网络模型; 用我国典型突出矿井的煤与瓦斯突出实例作为学习样本,对网络进行训练学习,并以云南恩洪煤矿的煤与瓦斯突出实例作为预测样本进行验证。结果证明该系统能较准确地预测煤矿的瓦斯突出情况。
Abstract:
This paper applied grey correlation analysis to analyze grey correlation about influence factors of coal and gas outburst, and got the order arrange of each influence factor according to the influence degree of coal and gas outburst.Choosing five advantage factors of grey correlation analysis as the input parameters, neural network forecasting model of coal and gas outburst was built. The network was trained by using the study samples from instances of typical coal and gas outburst mines in China, and coal and gas outburst instances of Yunnan Enhong mine were used as forecasting samples. Comparing the results from network forecasting with the results of the traditional methods, it proved that this method can meet the forecasting requirement of coal and gas outburst.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2008-08-20 基金项目: 国家自然科学基金项目(50274066); 国家973计划项目(2005CB221503) 作者简介: 丁 华(1979-),女,山西太原人,讲师,博士研究生,主要从事机械CAD/CAE等方面的研究.
更新日期/Last Update: 2009-04-11