| 神经网络模型在高速公路软基沉降预测中的应用 |
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| 引用本文： | 钟才根,丁文其,王茂和,张胜.神经网络模型在高速公路软基沉降预测中的应用[J].中国公路学报,2003,16(2):31-34. |
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| 作者姓名： | 钟才根 丁文其 王茂和 张胜 |
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| 作者单位： | 1. 同济大学地下建筑与工程系,上海,200092
2. 安徽省公路设计院,安徽,合肥,230041 |
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| 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 ,据以预测后期沉降量
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| 关 键 词： | 道路工程 高速公路软基 人工神经网络 沉降 预测 |
| 文章编号： | 1001-7372(2003)02-0031-04 |
| 修稿时间： | 2002年4月23日 |
Application of artificial neural network in settlement prediction of highway soft foundation |
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| ZHONG Cai gen ,DING Wen qi ,WANG Mao he ,ZHANG Sheng.Application of artificial neural network in settlement prediction of highway soft foundation[J].China Journal of Highway and Transport,2003,16(2):31-34. |
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| Authors: | ZHONG Cai gen DING Wen qi WANG Mao he ZHANG Sheng |
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| Institution: | ZHONG Cai gen 1,DING Wen qi 1,WANG Mao he 2,ZHANG Sheng 2 |
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| Abstract: | 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. |
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| Keywords: | road engineering highway soft foundation artificial neural network settlement prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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