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| 用小波神经网络预测高速公路软土地基最终沉降量 | |
| 引用本文： | 李凡,周增来,吴敏.用小波神经网络预测高速公路软土地基最终沉降量[J].合肥工业大学学报(自然科学版),2001,24(6):1124-1127. |
| 作者姓名： | 李凡 周增来 吴敏 |
| 作者单位： | 1. 河海大学岩土研究所,江苏南京,210098 2. 肥西县水厂,安徽合肥,230012 3. 南京市市政设计研究院,江苏,南京,210002 |
| 摘 要： | 高速公路软土地基的最终沉降量与软土工程特性、应力历史、路基剖面形态以及地基处理方法等许多因素有关 ,根据这些因素计算最终沉降量是一个非线性建模问题。利用小波神经网络在非线性建模中的收敛迅速等优越性 ,提出利用小波神经网络预测高速公路软土地基的最终沉降量的方法。通过实例分析表明该方法收敛迅速 ,预测精度高。 |
| 关 键 词： | 小波神经网络 软土地基 最终沉降量 |
| 文章编号： | 1003-5060(2001)06-1124-04 |
| 修稿时间： | 2001年7月17日 |
Prediction of final settlements of soft ground in expressway with wavelet neural networks |
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| LI Fan ,ZHOU Zeng lai ,WU Min.Prediction of final settlements of soft ground in expressway with wavelet neural networks[J].Journal of Hefei University of Technology(Natural Science),2001,24(6):1124-1127. | |
| Authors: | LI Fan ZHOU Zeng lai WU Min |
| Institution: | LI Fan 1,ZHOU Zeng lai 2,WU Min 3 |
| Abstract: | The final settlements of soft ground in expressway, which have relations with many factors such as the engineering characters and stress history of soft soil,the improvement method of soft ground, can be computed by nonlinear model. The wavelet neural network, which has good approximation and generalization performance in nonlinear modeling, is used to predict the final settlements of soft ground in expressway. The effectiveness of the method is shown by examples. |
| Keywords: | wavelet neural network soft ground final settlement |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |