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加速遗传算法在地下洞室施工监测及预测中的应用
Application of Accelerating Genetic Algorithm in Prototype Observation and Its Prediction during Underground Cavern Excavation
【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。
【Abstract】 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.
【关键词】 位移监测;
加速遗传算法;
参数估计;
预测函数;
【Key words】 displacement monitoring; Accelerating Genetic Algorithm; parameter estimation; prediction function;
【Key words】 displacement monitoring; Accelerating Genetic Algorithm; parameter estimation; prediction function;
- 【文献出处】 四川水力发电 ,Sichuan Water Power , 编辑部邮箱 ,2004年01期
- 【分类号】TV554
- 【被引频次】2
- 【下载频次】70