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基于BP神经网络的公路路基横断面填挖方信息提取方法及应用
引用本文:裴大明,王福建.基于BP神经网络的公路路基横断面填挖方信息提取方法及应用[J].重庆交通大学学报(自然科学版),1999,18(3).
作者姓名:裴大明  王福建
作者单位:1. 交通部第一公路工程总公司,北京,100024
2. 浙江大学,浙江杭州,310000
基金项目:国家自然科学基金资助项目(59808002)
摘    要:笔者探讨了基于 B P 神经网络的横断面填挖方信息提取方法. 该方法可快速地得到任一路线中桩处在不同填挖高度 H 时的横断面填方面积 Af 和挖方面积 Ac 的近似值, 并可将 H~ Af 及 H~ Ac 关系图线加绘在纵断面图上, 以便掌握全线或某一区间的填挖方分布状况, 为纵断面拉坡设计提供依据. 该方法易于在 C A D 系统中开发实现, 以提高勘测设计自动化、智能化水平.

关 键 词:公路  路基横断面  纵断面  填方  挖方  BP神经网络
文章编号:1001-716(1999)03-0026-04
修稿时间::1999-01-2

BP Neural Network Based Highway Cross Section's Fill and Cut Information Obtaining Method and Its Applications
PEI Da-ming,WANG Fu-jian.BP Neural Network Based Highway Cross Section's Fill and Cut Information Obtaining Method and Its Applications[J].Journal of Chongqing Jiaotong University,1999,18(3).
Authors:PEI Da-ming  WANG Fu-jian
Abstract:BP neural network based on highway cross sections fill and cut information obtaining method is researched.The approximate fill area A\-f and cut area A\-c with different heights of fill or cut H at an arbitrary stake can be calculated quickly by the method,and the diagrams H~A\-f and H~A\-c can be drawn on highway longitudinal profile drawing for better knowledge of the fill and cut distributions of the whole route or a section,which are very helpful to highway longitudinal profile design.The method is applied easily in highway CAD system to enhance the automation and intelligence of highway survey and design.
Keywords:highway  cross section  profile  fill  cut  BP neural network
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