| 皮尔—遗传神经网络在预测深厚软基沉降中的应用 |
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| 引用本文： | 黄生文,司铁汉,刘廷望. 皮尔—遗传神经网络在预测深厚软基沉降中的应用[J]. 长沙理工大学学报(自然科学版), 2008, 5(2): 43-47 |
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| 作者姓名： | 黄生文 司铁汉 刘廷望 |
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| 作者单位： | 1. 长沙理工大学岩土工程研究所,湖南,长沙410076
2. 武汉中咨路桥设计研究院有限公司,湖北,武汉430050 |
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| 摘 要： | 依托某高速公路应用塑料排水板堆载预压法处理深厚软基的工程实践．运用皮尔一遗传神经网络对其沉降观测结果进行了分析、预测．研究结果显示该方法预测精度高，说明这种方法对软土地基沉降的预测是有效的．
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| 关 键 词： | 软基沉降 神经网络 遗传算法 预测 |
Application of Pierre-genetic neural network method in prediction of deep soft ground settlement |
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| HUANG Sheng-wen,SI Tie-han,LIU Ting-wang. Application of Pierre-genetic neural network method in prediction of deep soft ground settlement[J]. Journal of Changsha University of Science and Technology(Natural Science), 2008, 5(2): 43-47 |
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| Authors: | HUANG Sheng-wen SI Tie-han LIU Ting-wang |
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| Affiliation: | HUANG Sheng-wen,SI Tie-han,LIU Ting-wang.(1.Institute of Geotechnical Engineering,Changsha University of Science and Technology, Changsha 410076;2. China Highway Engineering Consultant and Supervision Corporation Wuhan Company,Wuhan 430050,China) |
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| Abstract: | Based on a highway drainage plastic plate preloading treatment of soft-deep in the engineering practice, this paper applied the Pierre-genetic neural network method to analyse and forecast its settlement observation results. The results showed that the prediction is accurate. So this method is effective for the prediction of soft ground settlement, it can be used to guide the embankment construction completely. |
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| Keywords: | soft ground settlement neural networks genetic algorithm forecast |
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