| 基于灰色理论与神经网络的煤与瓦斯突出预测 |
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| 引用本文： | 王建国,王光辉,王海凤.基于灰色理论与神经网络的煤与瓦斯突出预测[J].河南纺织高等专科学校学报,2009(2):1-3. |
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| 作者姓名： | 王建国 王光辉 王海凤 |
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| 作者单位： | 河南理工大学资源环境学院;平顶山煤业集团; |
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| 摘 要： | 影响煤与瓦斯突出的因素众多，应用神经网络进行预测时，选取突出预测指标是关键．应用灰色关联分析筛选突出预测指标，结合神经网络建模进行了突出预测，使突出预测指标的选择由定性分析转化为定量分析，实现了灰色理论同神经网络在煤与瓦斯突出预测领域内的结合．
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| 关 键 词： | 煤与瓦斯突出 预测 灰色关联分析 神经网络 |
Prediction of Coal and Gas Outburst Based on Neural Network and Grey Theory |
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| WANG Jianguo,WANG Guanghui,WANG Haifeng.Prediction of Coal and Gas Outburst Based on Neural Network and Grey Theory[J].Journal of Henan Textile College,2009(2):1-3. |
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| Authors: | WANG Jianguo WANG Guanghui WANG Haifeng |
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| Affiliation: | WANG Jianguo1,WANG Guanghui2,WANG Haifeng2(1.Academy of Resource and Environment,Henan Polytechnic University,Jiaozuo 454000,China,2.Pingdingshan Coal Co.,Ltd.,Pingdingshan 467047,China) |
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| Abstract: | The key to predict coal and gas outburst affected by many factors by neural network is to choose parameters.This study chooses parameters by grey relevancy analysis and uses neural network model to predict.Qualitative analysis is transformed into quantitative analysis in terms of the choice of parameters.The integration of grey theory and neural network in predicting coal and gas outburst has been realized. |
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| Keywords: | coal and gas outburst prediction grey relevancy analysis neural network |
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