| 加速遗传算法在地下洞室施工监测及预测中的应用 |
| |
| 引用本文： | 黄金全,陈新,李昆. 加速遗传算法在地下洞室施工监测及预测中的应用[J]. 四川水力发电, 2004, 23(1): 73-74 |
| |
| 作者姓名： | 黄金全 陈新 李昆 |
| |
| 作者单位： | 四川大学,水电学院,四川,成都,610065 |
| |
| 摘 要： | 以地下洞室施工，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。
|
| 关 键 词： | 位移监测 加速遗传算法 参数估计 预测函数 |
| 文章编号： | 1001-2184(2004)01-0073-02 |
| 修稿时间： | 2003-03-17 |
Application of Accelerating Genetic Algorithm in Prototype Observation and Its Prediction during Underground Cavern Excavation |
| |
| HUANG Jin-quan CHEN Xin LI Kun. Application of Accelerating Genetic Algorithm in Prototype Observation and Its Prediction during Underground Cavern Excavation[J]. Sichuan Water Power, 2004, 23(1): 73-74 |
| |
| Authors: | HUANG Jin-quan CHEN Xin LI Kun |
| |
| 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. |
| |
| Keywords: | displacement monitoring Accelerating Genetic Algorithm parameter estimation prediction function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
