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神经网络在矿山巷道安全预测中的应用 被引量:5
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作者 杨志强 高谦 《矿业研究与开发》 CAS 北大核心 2007年第3期75-76,共2页
采场巷道的安全预测包含众多的模糊性、不确定性和知识的不完备性,应用神经网络模型的学习能力,进行巷道在掘进过程中的安全状态预测。为矿山安全生产和事故预测奠定了基础。系统在金川二矿区的应用表明,该系统具有较好的适用能力。
关键词 神经网络模型 矿山采场巷道 巷道安全预测
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Advanced prediction for multiple disaster sources of laneway under complicated geological conditions 被引量:5
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作者 Wang Bo Liu Shengdong +2 位作者 Liu Jing Huang Lanying Zhao Ligui 《Mining Science and Technology》 EI CAS 2011年第5期749-754,共6页
The driving safety in the laneway is often controlled by multiple disaster sources which include fault fracture zone, water-bearing body, goaf and collapse column. The advanced prediction of them has become a hotspot.... The driving safety in the laneway is often controlled by multiple disaster sources which include fault fracture zone, water-bearing body, goaf and collapse column. The advanced prediction of them has become a hotspot. Based on analysis of physical characteristics of the disaster sources and comparative evaluation of accuracy of the main advanced geophysical detection methods, we proposed a comprehen- sive judging criterion that tectonic interface can be judged by the elastic wave energy anomaly, strata water abundance can be discriminated by apparent resistivity response difference and establish a reason- able advanced prediction system. The results show that the concealed disaster sources are detected effec- tively with the accuracy rate of 80% if we use advanced prediction methods of integrated geophysics combined with correction of seismic and electromagnetic parameters, moreover, applying geological data, we may then distinguish types of the disaster sources and fulfill the qualitative forecast. Therefore, the advanced prediction system pays an important referential and instructive role in laneway driving project. 展开更多
关键词 Mine lanewayMultiple disaster sourcesPrediction systemAccuracy rateQualitative forecast
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