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| 煤与瓦斯突出预测灰色理论-神经网络方法 | |
| 引用本文： | 郭德勇,李念友,裴大文,郑登锋.煤与瓦斯突出预测灰色理论-神经网络方法[J].北京科技大学学报,2007,29(4):354-357. |
| 作者姓名： | 郭德勇 李念友 裴大文 郑登锋 |
| 作者单位： | 1. 中国矿业大学(北京)资源与安全工程学院,北京,100083 2. 中国矿业大学(北京)资源与安全工程学院,北京,100083;四川为天矿山安全科技评估咨询公司,成都,610083 3. 中国矿业大学(北京)资源与安全工程学院,北京,100083;平顶山煤业集团公司,平顶山,467000 |
| 基金项目： | 国家自然科学基金 , 教育部跨世纪优秀人才培养计划 |
| 摘 要： | 将灰色理论-神经网络方法应用于煤与瓦斯突出预测中,利用灰色系统理论的灰色关联法确定了控制矿井煤与瓦斯突出的主控因素,并对煤与瓦斯突出主控因素进行筛选. 建立了煤与瓦斯突出危险性预测人工神经网络的数学模型和系统结构. 在平顶山八矿突出区进行了煤与瓦斯突出危险性预测应用,预测效果表明:利用灰色系统理论-神经网络方法对预测矿井煤与瓦斯突出是可行的. |
| 关 键 词： | 煤与瓦斯突出 突出预测 灰色关联 人工神经网络 煤与瓦斯突出预测 灰色理论 工神经网络 网络方法 neural network grey theory coal and gas outburst method of 预测效果 预测应用 突出危险性预测 平顶山 系统结构 数学模型 筛选 主控因素 矿井 控制 灰色关联法 系统理论 |
| 修稿时间： | 2006-11-07 |
Prediction method of coal and gas outburst using the grey theory and neural network |
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| GUO Deyong,LI Nianyou,PEI Dawen,ZHENG Dengfeng.Prediction method of coal and gas outburst using the grey theory and neural network[J].Journal of University of Science and Technology Beijing,2007,29(4):354-357. | |
| Authors: | GUO Deyong LI Nianyou PEI Dawen ZHENG Dengfeng |
| Institution: | 1. Resource and Safety Engineering School, China University of Mining and Technology (Beijing;group |
| Abstract: | The grey theory and neural network method were applied to coal and gas outburst forecast.Main controlling factors of coal and gas outburst were filtered by the grey correlation method of the grey system theory.The mathematical model and systematic structure of artificial neural network were founded to forecast the risk of coal and gas outburst.The effectiveness of the risk forecast in the outburst zone of Pingdingshan No.8 Coal Mine was demonstrated the grey theory and neural artificial network as a new means is available. |
| Keywords: | coal and gas outburst outburst forecast gray relevancy artificial neural network |
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