基于人工神经网络的岩爆预测方法

ROCKBURST PREDICTION METHOD BASED ON THE ARTIFICAL NEURAL NETWORK

在分析岩爆主要影响因素的基础上 ,建立了一种新的人工神经网络岩爆预测模型。采用已有岩爆发生数据作为训练样本对网络进行训练 ,利用收敛的网络进行岩爆烈度预测 ,预测结果与实际吻合 。

Based on the neural network theory, a new rockburst prediction model of the artificial neural network is established. The neural network is trained using the collected data from actual projects, and the convergent network is used to predict rockburst, the results coincide with the data from actual projects, which proves that the method is feasible.