According to orthogonal design, the value levels of the mechanical parameters were chosen, and simulation schemes were arranged; the related analytical samples for neural network were given by FLAC(superscript 2D) calculations; RBF neural network was trai
According to orthogonal design, the value levels of the mechanical parameters were chosen, and simulation schemes were arranged; the related analytical samples for neural network were given by FLAC(superscript 2D) calculations; RBF neural network was trai
按照正交设计要求，选定反演参数的水平，确定数值模拟方案;用FLAC(上标2D)差分程序计算得出相应的神经网络分析样本；对RBF神经网络进行训练；利用现场监测位移，对某露天矿边坡岩体的力学参数进行神经网络反分析。