地下工程中基于人工神经网络的岩爆预测

Rock Burst Forecast Based on Artificial Neural Network in Underground Engineering

通过收集国内外多个地下工程和矿山实际岩爆资料,分析了影响岩爆发生的主要因素,运用人工神经网络方法,建立了岩爆预测的人工神经网络模型,并根据某地下工程的实测参数,验证了预测模型的可靠性。结果表明,所建立的模型具有较高的预测精度。

Through collecting a number of the practical rock burst materials of underground engineering and mines at home and abroad, the article has analyzed the main factors influencing the rock burst occurrence. Making use of the artificial neural network method,a rock burst forecast of artificial neural network model was established and according to some underground engineering measured parameters, it validated the reliability of the forecasting model： The results showed that the model had higher precision.