Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3495018.3495125acmotherconferencesArticle/Chapter ViewAbstractPublication PagesaiamConference Proceedingsconference-collections
research-article

Analysis and Scheme Comparison of Subgrade and Pavement Drainage Based on RBF Neural Network Algorithm

Published: 14 March 2022 Publication History
  • Get Citation Alerts
  • First page of PDF

    References

    [1]
    Jt A, Zheng Y B, Rz B, RBF neural network modeling approach using PCA basedLM-GA optimization for coke furnace system. Applied Soft Computing, 2021.
    [2]
    Shaukat N, Ali A, MJ Iqbal, Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter. Sensors, no.04,pp.1149,2021.
    [3]
    Guo F, Huang Q . Signal Recognition Based on APSO-RBF Neural Network to Assist Athlete's Competitive Ability Evaluation. Computational Intelligence and Neuroscience, no.04,pp.1-12,2021.
    [4]
    Meng Chong Chong. Analysis of highway drainage design in mountainous areas. Engineering technology research, no.08,pp.217-218,2021.
    [5]
    Liu Yandong. Research on highway drainage design. Transportation world (Engineering Technology), no.03,pp.100-101,2016.
    [6]
    Huang Ping, Li Tian. Drainage design of Kaiyang Expressway. Highway, no.08,pp. 77-80,2003.
    [7]
    Ma De, Zhang Xu. Discussion on highway drainage design. China water transportation (theoretical Edition), no.01,pp. 124-125,2008.
    [8]
    Liu Hua. Outline of highway drainage design. Construction engineering technology and design, no.29,pp.680,2015.
    [9]
    Gao Ming, Fang Ming. Analysis of highway drainage design. Theoretical research on urban construction (electronic version), no.35,pp. 3621-3621,2014.
    [10]
    Pengfei. Discussion on highway drainage design. Science and technology and enterprise, no.05,pp.169-169,2012.
    1. Analysis and Scheme Comparison of Subgrade and Pavement Drainage Based on RBF Neural Network Algorithm

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture
      October 2021
      3136 pages
      ISBN:9781450385046
      DOI:10.1145/3495018
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 14 March 2022

      Permissions

      Request permissions for this article.

      Check for updates

      Qualifiers

      • Research-article
      • Research
      • Refereed limited

      Conference

      AIAM2021

      Acceptance Rates

      Overall Acceptance Rate 100 of 285 submissions, 35%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 29
        Total Downloads
      • Downloads (Last 12 months)11
      • Downloads (Last 6 weeks)2

      Other Metrics

      Citations

      View Options

      Get Access

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format.

      HTML Format

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media