中文核心期刊
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中国科技核心期刊
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重庆交通大学学报（自然科学版）

重庆交通大学学报（自然科学版） ›› 1999, Vol. 18 ›› Issue (3): 26-29.

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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

裴大明1, 王福建2   

  1. 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
  • 收稿日期:1999-01-25 出版日期:1999-06-22 发布日期:2016-10-31
  • 作者简介:裴大明(1964-),男,湖北公安人,交通部第一公路工程总公司工程师,从事路桥建设.
  • 基金资助:
    国家自然科学基金(59808002)

BP Neural Network Based Highway Cross Section's Fill and Cut Information Obtaining Method and Its Applications

PEI Da-ming1, WANG Fu-jian2   

  1. 1. The First General Company of Highway Engineering, Beijing 100024, China;
    2. Zhejiang University, Hangzhou 310000, China
  • Received:1999-01-25 Online:1999-06-22 Published:2016-10-31

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摘要： 笔者探讨了基于BP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CAD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

Abstract: BP neural network based on highway cross section's fill and cut information obtaining method is researched.The approximate fill area Af and cut area Ac with different heights of fill or cut H at an arbitrary stake can be calculated quickly by the method, and the diagrams H~Af and H~Ac 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.

Key words: highway, cross section, profile, fill, cut, BP neural network

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