摘要
以地下洞室施工中岩体深部位移监测及预测为例,探讨对非线性多参数位移增长模型进行参数估计的方法,并应用加速遗传算法获得了较理想的预测函数。该方法精度高,通用性强,可应用于类似施工监测资料的分析。
In this paper , based on deep rock displacement monitoring and prediction in underground cavern construction , the methods of estimating parameters in nonlinear displacement increase model is studied . A ideal prediction function is gained by Accelerating Genetic Algorithm . This high accuracy method can be generally applied in the similar observation data analysis.
出处
《四川水力发电》
2004年第1期73-74,共2页
Sichuan Hydropower
关键词
位移监测
加速遗传算法
参数估计
预测函数
displacement monitoring
Accelerating Genetic Algorithm
parameter estimation
prediction function
