• DocumentCode
    2333574
  • Title

    The research of artificial neural network as a tool of adjustment prediction in eco-city construction

  • Author

    Tian, Jin-Xin ; Jin-Xin Tun

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., China
  • Volume
    6
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    3416
  • Abstract
    The eco-city is a multi-goals, multi-functional, integrated system with complicated structure, which can be lively imitated by artificial neural network (ANN). The paper researches the evaluation indices prediction of eco-city development by the artificial neural network´s BP model. Through data collection, neural network model design, programming and training, the prediction can be obtained and analysis is made. The results indicate a usefulness of neural network technology for non-mechanistic modeling in ecological research and management.
  • Keywords
    backpropagation; ecology; environmental science computing; neural nets; artificial neural network; eco-city construction; ecology management; neural network model design; Artificial neural networks; Biological neural networks; Biological system modeling; Feedforward neural networks; Feedforward systems; Intelligent networks; Multi-layer neural network; Neural networks; Neurons; Predictive models; Artificial neural network; eco-city construction; prediction model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527532
  • Filename
    1527532