• DocumentCode
    1986246
  • Title

    Research on Rural Highway Maintenance Management Assessment Methods Based on ANN

  • Author

    Jiatang Niu

  • Author_Institution
    Sch. of Resources & Environ. Eng., Wuhan Univ. of Technol., Wuhan, China
  • Volume
    1
  • fYear
    2013
  • fDate
    28-29 Oct. 2013
  • Firstpage
    209
  • Lastpage
    212
  • Abstract
    A maintenance management assessment system for rural highway is mainly researched, in which the sub module of the daily maintenance management, technological and safety condition state of rural highway, and level of rural highway net are incorporated. In addition, the expert knowledge are inserted in the system, the multi-layer neural network and fuzzy-set theory are used to implement maintenance management assessment for rural highway, and the feasibility and effectiveness of the assessment system are finally verified by practical rural highway.
  • Keywords
    condition monitoring; fuzzy neural nets; fuzzy set theory; maintenance engineering; road safety; roads; structural engineering computing; ANN; artificial neural network; expert knowledge; fuzzy-set theory; multilayer neural network; rural highway maintenance management assessment system; safety condition state; technological state; Fuzzy neural networks; Indexes; Maintenance engineering; Neural networks; Road transportation; Systematics; Training; fuzzy-neural network; maintenance management assessment; rural highway;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/ISCID.2013.59
  • Filename
    6804972