| 灰关联分析与BP神经网络方法在矿井瓦斯涌出量预测中的应用 |
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| 引用本文： | 白庆升,范正伟,王为举.灰关联分析与BP神经网络方法在矿井瓦斯涌出量预测中的应用[J].煤,2009,18(4). |
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| 作者姓名： | 白庆升 范正伟 王为举 |
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| 作者单位： | 中国矿业大学,矿业工程学院,江苏,徐州,221116 |
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| 摘 要： | 将灰关联理论运用到影响矿井瓦斯涌出量预测指标的选取中,确定了影响矿井瓦斯涌出量预测的主要指标。根据这些指标建立了矿井瓦斯涌出量的BP神经网络模型,结合某矿的实际数据,对预测模型进行训练和验证,得到了很高的预测精度和较快的收敛速度,取得了较好的实际应用效果。
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| 关 键 词： | 瓦斯涌出量 预测指标 灰关联 BP神经网络 |
Applation of Grey Relation and PB Neural Network in Gas Disaster Forecast |
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| BAI Qing-sheng,FAN Zheng-wei,WANG Wei-ju.Applation of Grey Relation and PB Neural Network in Gas Disaster Forecast[J].Coal,2009,18(4). |
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| Authors: | BAI Qing-sheng FAN Zheng-wei WANG Wei-ju |
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| Affiliation: | School of Mine;China University of Mining and Technology;Xuzhou 221116;China |
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| Abstract: | The paper associated Grey relation to select the main prediction indexs which influence the gas disaster.Based on these indexs we presented a BP neural network model to forecast mine gas disaster.And the model was trained and tested with experimental dat in a certain coal mine,and achieved good results in practical applications with high accuracy and faster convergence rate. |
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| Keywords: | gas emission quantity prediction index grey relation BP neural network |
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