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软基路堤最终沉降的人工神经网络预测
引用本文:王志亮,徐庆华.软基路堤最终沉降的人工神经网络预测[J].公路交通科技,2004,21(1):35-37.
作者姓名:王志亮  徐庆华
作者单位:1. 河海大学岩土工程研究所,江苏,南京,210098
2. 浙江省水利河口研究院,浙江,杭州,310020
摘    要:针对软基土路堤最终沉降预测这一技术难题,先对影响路堤最终沉降的主要因素进行了分析,接着提出了带偏差单元的神经网络模型。工程实例验证表明:该模型预测精度高、简便易行,可为软基路堤沉降的预测和计算提供方法上的参考。

关 键 词:软基路堤  最终沉降  带偏差的神经网络  预测
文章编号:1002-0268(2004)01-0035-03
修稿时间:2002年11月12

Prediction of Final Settlement of Embankment on Soft Ground Using Artificial Neural Network
WANG Zhi-liang,XU Qing-hua.Prediction of Final Settlement of Embankment on Soft Ground Using Artificial Neural Network[J].Journal of Highway and Transportation Research and Development,2004,21(1):35-37.
Authors:WANG Zhi-liang  XU Qing-hua
Institution:WANG Zhi-liang~1,XU Qing-hua~2
Abstract:To solve the technical problem in final settlement prediction of embankment on soft ground,the factors affecting final settlement are analysed.Then, one neural network model with error units for predicting final settlement is put forward.The calculation results from an enginaring example display that this method is more accurate and easier to be operated. It can be a reference to the forecast and calculation of embankment settlement on soft ground.
Keywords:Roadbed on soft ground  Final settlement  Neural network model with error units  Prediction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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