| 公路软基沉降函数干涉神经网络预测模型 |
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| 引用本文： | 樊琨,杨涛,李国维.公路软基沉降函数干涉神经网络预测模型[J].岩土力学,2004,25(2):301-303. |
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| 作者姓名： | 樊琨 杨涛 李国维 |
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| 作者单位： | 1. 上海海运学院 计算中心，上海 200135；2. 上海理工大学 城市建设与环境工程学院，上海 200093； 3. 河海大学 岩土所， 江苏 南京 210098 |
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| 基金项目： | 上海市教委科技发展基金项目(No. 01F03) |
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| 摘 要： | 建立了基于函数干涉神经网络的公路软基沉降预测模型。工程实例表明，所建议的模型外延性好，而且，可以由较短预压期内沉降观测资料预测远期沉降发展，与传统沉降预测模型相比具有显著的优越性，工程应用前景广阔。
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| 关 键 词： | BP模型 软基 沉降 预测 |
| 文章编号： | 1000-7598-(2004)02-0301-04 |
| 收稿时间： | 2002-10-16 |
Settlement prediction model of roadbed on soft ground based on artificial neural network with interference function |
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| FAN Kun,YANG Tao,LI Guo-wei.Settlement prediction model of roadbed on soft ground based on artificial neural network with interference function[J].Rock and Soil Mechanics,2004,25(2):301-303. |
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| Authors: | FAN Kun YANG Tao LI Guo-wei |
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| Institution: | 1. Computer Center，Shanghai Maritime University, Shanghai 200135, China； 2. School of Urban Construction and Environment Engineering，University of Shanghai for Science and Technology, Shanghai 200093, China； 3. Research Institute of Geotechnical Engineering，Hohai University, Nanjing 210098, China |
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| Abstract: | Based on the measured settlements of road embankment on soft ground during preloading, a new settlement prediction model is established by the BP network with interference function. Its application to a practical case shows that the proposed model has good extensionality, and can be used to predict future settlements with higher precision by means of measured settlements during a short period of preloading. The proposed model can overcome the defaults of some cure fitting methods and the traditional BP model, and has widely applied foreground in expressway construction. |
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| Keywords: | BP model soft ground settlement prediction |
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