中南大学学报（自然科学版）2011，Vol.42Issue(1)：213-219,7.
基于遗传算法和神经网络的隧道围岩位移智能反分析
Intelligent back-analysis of tunnel surrounding rock displacement based on genetic algorithm and neural network
摘要
Abstract
The learning samples and test samples were built based on orthogonal experimental design and FLAC3D numerical simulation, using the project site for the surrounding rock displacement information.The potential mapping between parameters and surrounding rock displacement was established using neural network.The results show that the optimal solution of inversion parameters can be derived to achieve the displacement back analysis combined with the genetic algorithm and prediction function of the nerve network.Then inversion results can be the feedback for the design of tunnel support structure to achieve the tunnel construction and design of information technology.关键词
位移反分析/遗传算法/神经网络/正交试验分类
交通工程引用本文复制引用
黄戡,刘宝琛,彭建国,冯德山,丁国华,王跃飞..基于遗传算法和神经网络的隧道围岩位移智能反分析[J].中南大学学报（自然科学版）,2011,42(1):213-219,7.基金项目
西部交通建设科技项(20033179802) （20033179802）
