人工神经网络在岩石工程系统RES中的应用

Application of Artificial Neural Network to Rock Engineering System

从岩石工程实例数据出发，采用作者提出的基于人工神经网络的相对作用强度ＲＳＥ和ＧＲＳＥ，研究了各种相关参数对岩石工程稳定性的不同影响。研究结果表明，人工神经网络从实际数据中自行学习能够更好地反映岩石工程现场的实际，所建立的相互作用矩阵能够体现现场实际参数间相互动态的、非线性的相互作用。

Based on a set of practical data,the paper studies various influences of relevant factors taken on the stability of rock engineering with RSE(Relative Strength of Effect) and GRSE(Global Relative Strength of Effect) which come from the artificial neural network.The result indicates that RSE can reveal the real interaction among those factors,and the dynamic RSE matrix is very suitable for the application of RES(Rock Engineering System).