• DocumentCode
    3350371
  • Title

    Evaluation on eco-agriculture tourism environmental quality based on neural networks

  • Author

    Yunxia, Shi

  • Author_Institution
    Sch. of Bus. Manage., Shandong Inst. of Bus. & Technol., Yantai, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    4190
  • Lastpage
    4192
  • Abstract
    Tourism environment is the base of the development of tourism industry. The evaluation on the environment quality of tourism destination can maintain and promote the quality of the eco-environment of the tourism destination. In this paper, the evaluation system of eco-agriculture tourism is set up and Neural Networks Method is used for the environmental quality assessment of eco-agriculture tourism The network was chosen as membership function and the standard weighting method was adopted to calculate the weight actor to eliminate the effects of measured concentration It shows that making use of the BP nerve network of method to evaluate touring environmental quality was a scientific and valid method.
  • Keywords
    agriculture; backpropagation; environmental factors; neural nets; quality management; travel industry; BP nerve network; ecoagriculture tourism environmental quality; environmental quality assessment; evaluation system; neural networks; standard weighting method; tourism destination; tourism industry; Biological system modeling; Economic indicators; Environmental management; Measurement standards; Neural networks; Pollution measurement; Quality assessment; Quality management; Sun; Technology management; BP nerve network; Eco-agriculture tourism; Environmental quality; Evaluation system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535670
  • Filename
    5535670