摘要
借助人工神经网络模型 ,建立了可依据现场量测信息对软基路堤沉降量随时间而发展的过程进行动态预报的分析方法。其要点是 :建立公路软基沉降预测的神经网络结构 ,并将前期沉降观测值作为样本 ,通过神经网络结构的训练寻求沉降及其主要影响因素的内在关系 。
In this paper, on the basis of artificial neural network and field measuring information, the analysis method for predicting the highway settlement which varies with time is established. In this method,the artificial neural network structure for settlement prediction of highway soft foundation is set up, and the measuring settlement in former stage is used for training the neural network, the internal relation between the highway settlement and main influencing factors is thus obtained, then the settlement in later stage is predicted by the trained neural network.
出处
《中国公路学报》
EI
CAS
CSCD
北大核心
2003年第2期31-34,共4页
China Journal of Highway and Transport
关键词
神经网络模型
高速公路
软土地基
沉降预测
路堤
道路工程
road engineering
highway soft foundation
artificial neural network
settlement
prediction
