| 高速公路沉降预测的新方法 |
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| 引用本文： | 叶观宝,司明强,赵建忠,徐超.高速公路沉降预测的新方法[J].同济大学学报(自然科学版),2003,31(5):540-543. |
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| 作者姓名： | 叶观宝 司明强 赵建忠 徐超 |
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| 作者单位： | 同济大学,地下建筑与工程系,上海,200092 |
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| 基金项目： | 上海市重点学科建设资助项目 (沪教委科 [2 0 0 1] 44号 ) |
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| 摘 要： | 采用人工神经网络较强的非线性映射能力和学习能力 ,提出基于人工神经网络的高速公路路基沉降预测新方法 .这一方法利用实测资料直接建模 ,避免了传统方法计算过程中各种人为因素的干扰 ,所建立的模型预测精度高、简便易行 ,具有广泛的工程实用价值
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| 关 键 词： | 人工神经网络 沉降 路堤 |
| 文章编号： | 0253-374X(2003)05-0540-04 |
| 修稿时间： | 2002年5月14日 |
New Prediction Method on Final Settlement in Express Highway |
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| YE Guan bao,SI Ming qiang,ZHAO Jian zhong,XU Chao.New Prediction Method on Final Settlement in Express Highway[J].Journal of Tongji University(Natural Science),2003,31(5):540-543. |
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| Authors: | YE Guan bao SI Ming qiang ZHAO Jian zhong XU Chao |
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| Abstract: | A new method for evaluating settlement of embankment for expressways is presented in this paper.The strong nonlinear mapping and learning ability of artificial neural networks (ANN) are employed in this method.Since the model of this method is directly based on real samples,it can avoid the mistakes due to factitiousness in traditional methods.It is proved that the prediction model is accurate and easy to operate.Therefore,the method is of wide practical engineering value. |
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| Keywords: | artificial neural networks settlement embankment |
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