| 基于BP神经网络分源预测综采面瓦斯涌出量研究 |
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| 引用本文： | 肖家平,戴广龙.基于BP神经网络分源预测综采面瓦斯涌出量研究[J].淮南工业学院学报,2011(4):51-55. |
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| 作者姓名： | 肖家平 戴广龙 |
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| 作者单位： | [1]淮南职业技术学院通风安全系,安徽淮南232001 [2]安徽理工大学能源与安全学院,安徽淮南232001 |
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| 摘 要： | 为了提高综采工作面瓦斯涌出量的预测精度,根据综采工作面瓦斯来源的分析,在瓦斯分源预测方法的基础上,融合神经网络预测技术,建立BP神经网络分源预测模型。结合某矿1242（1）工作面地质条件和开采技术条件,利用BP神经网络分源预测模型对工作面瓦斯涌出量进行了预测,结果表明,BP神经网络分源预测模型预测精度能满足现场需求,与分源法相比较,在综采工作面瓦斯涌出量预测中方便简洁而且具有很高可信度,其应用前景更广泛。
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| 关 键 词： | 瓦斯涌出量 保护层开采 BP神经网络 分源预测 |
Study on Different-source Prediction of Gas Emission in Fully Mechanized Coal Face Based on BP Neural Network |
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| XIAO Jia-ping,DAI Guang-long.Study on Different-source Prediction of Gas Emission in Fully Mechanized Coal Face Based on BP Neural Network[J].Journal of Huainan Institute of Technology(Natural Science),2011(4):51-55. |
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| Authors: | XIAO Jia-ping DAI Guang-long |
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| Affiliation: | 1.Huainan Vocational Technical College,Ventilation and Safefy Department,Huainan Anhui 232001,China;2.School of Energy and Safety,Anhui University of Science and Technology,Huainan Anhui 232001,China) |
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| Abstract: | According to analysis of methods and characteristics of gas emission source in fully mechanized coal faces（FMCF）,BP neural network and prediction technique were integrated in building a different-source prediction model.Based on geological and mining conditions of No.1242（1） FMCF,the main source of face gas emission was predicted by different-source prediction model based on BP neural network.The results showed that the model is suitable and reliable in gas emission predicting.Comparing with other prediction methods,different-source prediction is easy to be used to predict gas emission during FMCF mining procedure.The method can be applied in wide range. |
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| Keywords: | gas emission protective seam mining BP neural network different-source prediction |
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