摘要
借助MATLAB数值分析软件,基于BP算法的误差逆传播网络,建立了巷道锚杆支护参数与锚杆轴力之间的映射关系。经过构建的神经网络平台的拟合可以较准确地得到支护锚杆的轴力,可用于对锚杆轴向受力状态的识别和巷道支护状况的评价,在巷道围岩稳定性和锚杆支护效果的监测中有一定的参考价值。
By using the numerical analysis software MATLAB and based on the Error Back - Propagation Network, the mapping relationship between the supporting parameters of roadway rock and the axial force of rockbolt was constructed in this paper. The axial force of rockboh can be obtained accurately by fitting the neural network platform, so the axial stress state of rockboh can be identified and the roadway supporting status can be evalua- ted. This technology is of some reference value for the monitoring of roadway rock stability and rockbolt supporting effect.
出处
《矿业研究与开发》
CAS
北大核心
2011年第4期41-43,77,共4页
Mining Research and Development
基金
国家自然科学基金重点项目(50834004)
国家自然科学基金项目(50874104)
高等学校学科创新引智计划资助(B07028)
关键词
人工神经网络
巷道支护
锚杆轴力
识别
Artificial neural network, Roadway support, Anchoraxial force, Identification
