| 煤与瓦斯突出危险性计算机识别与预报系统 |
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| 引用本文： | 王凯,俞启香.煤与瓦斯突出危险性计算机识别与预报系统[J].中国安全科学学报,1997,7(2):1-5. |
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| 作者姓名： | 王凯 俞启香 |
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| 作者单位： | 中国矿业大学!江苏省徐州市中国矿业大学博研94221008 |
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| 摘 要： | 根据反向传播神经网络模型的原理，设计了煤与瓦斯突出危险性的计算机识别与预报系统，借助于对已知突出实例的训练学习，得出反映突出预测指标和突出危险程度之间复杂的非线性映射关系的网络系数（预报规则），可以对突出危险性进行多因素识别预报。通过外推预报检验，表明系统具有较高的可靠性和实用性
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| 关 键 词： | 突出危险性 神经网络 BP算法 识别预报系统 |
A Computerized Recognition and Forecast System for the Risk of Coal and Gas Outburst |
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| Wang KaiDoctoral Student,Yu QixiangProf.,Director of Doctor Program.A Computerized Recognition and Forecast System for the Risk of Coal and Gas Outburst[J].China Safety Science Journal,1997,7(2):1-5. |
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| Authors: | Wang KaiDoctoral Student Yu QixiangProf Director of Doctor Program |
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| Abstract: | Based on the Back Propagation neural network model,a computerized recognition and forecast system for risk of coal and gas outburst has been disigned.By the aid of the training to some known outburst samples,the network coefficients(i.e.forecast rules)could be obtained which would reflect the complicated non-linear relationship between the indices and the risk of outbursts,and then other unknown outbursts could be recognized and forecasted.The results of extrapolational forecast indicated that the system showed high reliability and practicality in outburst forecast. |
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| Keywords: | Outburst risk Neural network BP algorithm Recognition and forecast system |
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