| 基于BP算法的矿井掘进工作面瓦斯涌出量预测 |
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| 引用本文： | 邓明,詹小四.基于BP算法的矿井掘进工作面瓦斯涌出量预测[J].阜阳师范学院学报(自然科学版),2005,22(1):55-57. |
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| 作者姓名： | 邓明 詹小四 |
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| 作者单位： | 阜阳师范学院计算机系,安徽,阜阳,236032 |
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| 摘 要： | 应用BP人工神经网络理论,建立了矿井掘进工作面瓦斯涌出量的预测模型,克服了由于各因素的不确定所造成的影响,提高了瓦斯涌出量预测的准确性.实际应用表明,预测模型可信,精度能满足要求.
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| 关 键 词： | 神经网络 BP算法 瓦斯涌出量 预测预报 |
| 文章编号： | 1004-4329(2005)01-0055-03 |
| 修稿时间： | 2004年10月10 |
Prediction of Gas Amount Emitted from Mine Heading Face Based on Back-Propagation Algorithm |
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| DENG Ming,ZHAN Xiao-si.Prediction of Gas Amount Emitted from Mine Heading Face Based on Back-Propagation Algorithm[J].Journal of Fuyang Teachers College:Natural Science,2005,22(1):55-57. |
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| Authors: | DENG Ming ZHAN Xiao-si |
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| Abstract: | According to the neural network theory, a pr edicting model for the amo unt of gas emitted from the heading face is established .The influence of uncert ainty of every factors is avoided .It can increase the predicting precision of t he gas gushing . Practical application demonstrates that the predicting model is reliable and its precision is well enough to meet the needs of practical use. |
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| Keywords: | artifical neural network Back-Propagation alg orithm gas emission prediction |
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