| 用小波神经网络预测深基坑周围地表的沉降量 |
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| 引用本文： | 曹红林,王靖涛.用小波神经网络预测深基坑周围地表的沉降量[J].土工基础,2003,17(4):58-60. |
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| 作者姓名： | 曹红林 王靖涛 |
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| 作者单位： | 华中科技大学土木工程与力学学院,湖北,武汉,430074 |
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| 摘 要： | 将小波神经网络应用于深基坑周围地表沉降的预测,提出了一种有效的预测方法,并构造了预测沉降的小波神经网络模型。预测结果表明,该方法收敛速度快、预测精度高,为预测深基坑周围地表沉降量的一种实用方法。
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| 关 键 词： | 小波神经网络 误差反向传播 深基坑 地表沉降 |
| 文章编号： | 1004-3152(2003)04-0058-03 |
| 修稿时间： | 2003年3月18日 |
Prediction of Ground Settlement Around Deep Foundation Pit by Using Wavelet Neural Networks |
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| CAO Hong-lin,WANG Jing-tao.Prediction of Ground Settlement Around Deep Foundation Pit by Using Wavelet Neural Networks[J].Soie Engineering and Foundation,2003,17(4):58-60. |
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| Authors: | CAO Hong-lin WANG Jing-tao |
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| Abstract: | In this paper,wavelet neural networks are used for predicting the ground settlement around deep foundation pit. An effective predicting method is put forward,and set up the wavelet neural networks model for ground settlement prediction. The predicting result indicates that the model proposed here has fast approximation performance and high precision,which provide a valuable means for ground settlement prediction around deep foundation pit. |
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| Keywords: | wavelet neral networks error back-propagation deep foundation pit ground settlement |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
