| 基于遗传算法和神经网络的高路堤沉降预测研究 |
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| 引用本文： | 徐晓宇,王桂尧,匡希龙,戴剑冰.基于遗传算法和神经网络的高路堤沉降预测研究[J].中南公路工程,2006,31(3):30-33,62. |
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| 作者姓名： | 徐晓宇 王桂尧 匡希龙 戴剑冰 |
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| 作者单位： | [1]广东有色工程勘察设计院,广东广州510080 [2]长沙理工大学桥梁与结构工程学院,湖南长沙410076 [3]中铁二十四局福建铁道建设集团,福建厦门361009 |
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| 摘 要： | 依据高路堤填土施工期路基沉降实测资料,运用遗传算法和人工神经网络构造了预测路基沉降的等时距遗传神经网络模型, 并且对该网络进行了训练以及仿真,对预测结果运用3次样条插值可得到预测时间段内的任一时刻沉降结果,通过和实测沉降结果对比可知遗传神经网络比人工神经网络节省大量的调试时间和计算时间,而且其预测精度优于BP算法和指数拟合方法,显示其明显的优越性.
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| 关 键 词： | 遗传算法 人工神经网络 沉降预测 高路堤 |
| 文章编号： | 1002-1205（2006）03-0030-04 |
| 收稿时间： | 2004-05-26 |
| 修稿时间： | 2004-05-26 |
Research of the Settlement Prediction of High Embankment Based on the Genetic Algorithm and Neural Network |
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| XU Xiaoyu, WANG Guiyao, KUANG Xilong, DAI Jianbing.Research of the Settlement Prediction of High Embankment Based on the Genetic Algorithm and Neural Network[J].Central South Highway Engineering,2006,31(3):30-33,62. |
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| Authors: | XU Xiaoyu WANG Guiyao KUANG Xilong DAI Jianbing |
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| Institution: | 1. Guangdong Nonferrous Metals Engineering Investigation Design Institute, Guangdong, Guangzhou 510080, China; 2. Changsha University of Technology, Changsha 410076, China; 3. The Twenty-four Engineering Group Co. Ltd. of China Railway, Xiamen,Fujian 361009, China |
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| Abstract: | Based on the monitoring data of settlement during construction, the equal time GA-ANN model for settlement prediction of roadbed is founded by Genetic Algorithm and Artificial Neural Network, and then, was trained and simulated. The result of settlement in the term of prediction can be gained with Cubic Spline Interpolation. Using GA-ANN through contrast with monitoring data can save a lot of debugging time and accounting time; furthermore the model has been verified that the GA-ANN gains the advantage over the general ANN and the method of Exponent Fitting. |
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| Keywords: | genetic algorithm neural networks settlement prediction high embankment |
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