李树刚, 刘志云, 林海飞. 基于神经网络的煤与瓦斯突出矿井等级划分方法[J]. 煤田地质与勘探, 2005, 33(1): 19-21.
引用本文: 李树刚, 刘志云, 林海飞. 基于神经网络的煤与瓦斯突出矿井等级划分方法[J]. 煤田地质与勘探, 2005, 33(1): 19-21.
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LI Shu-gang, LIU Zhi-yun, LIN Hai-fei. The measure to grade the coal and gas outburst based on the nerve network[J]. COAL GEOLOGY & EXPLORATION, 2005, 33(1): 19-21.
Citation: LI Shu-gang, LIU Zhi-yun, LIN Hai-fei. The measure to grade the coal and gas outburst based on the nerve network[J]. COAL GEOLOGY & EXPLORATION, 2005, 33(1): 19-21.
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基于神经网络的煤与瓦斯突出矿井等级划分方法

The measure to grade the coal and gas outburst based on the nerve network

    摘要
  • 摘要: 针对我国煤炭行业中对突出矿井同一定级, 实施同一安全管理的现象, 从分析工作系统的灾害模型出发, 给出了突出矿井等级划分的评价指标体系, 应用灰色系统和证据理论的方法给出了神经网络训练的样本。在此基础上, 提出了危险信度的概念, 用以衡量突出矿井危险程度, 编制了神经网络, 并对其进行训练。应用训练好的神经网络, 对淮南矿区的几个突出矿井进行了工程验证。该方法对建立健全我国突出矿井的划分方法及评价标准具有一定指导意义。

     

    Abstract: Aiming at the electrophoresis of classing outburst mines and practicing the same safety management in our country’s coal industry, with analyzing accident model in work systems, brought up evaluation indexes system. Applying the methods of gray system synthesize evaluation and proof theories, got the outburst dangerous grade samples. Based on it, the dangerous degree measure (dangerous believe degree) was put forward, applied the trained neural network to a few outburst mines engineering verification of Huainan diggings. The research of this text for the demarcation method of outburst mines dangerous grade of out country outburst mines has the certain guidance meaning for establish our country demarcation method and evaluation standard of outburst mines dangerous degree.

     

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