摘要
本文提出了利用人工神经网络技术识别层状地层中地下洞室围岩物性参数的一种方法.理论分析与数值模拟结果表明,在一定条件下,采用该方法可以给出精度较高的围岩物性参数和初始地应力参数识别值.
A method based on the use of artificial neural networks is presented to identify the physical parameters of the surrounding rock of underground caverns in stratified layers. A theoretical analysis and simulated results show that the estimates with high precision of the physical parameters for the surrounding rock and the components of the initial stress can be obtained using this method on some conditions.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
1996年第1期71-77,共7页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金
关键词
地下洞室
围岩
参数识别
神经网络
Physical Parameter Identification, Artificial Neural Networks, Stratified Layers.
