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Application of artificical neural network in complex systems of regional sustainable development

Shi, C, Guo, ZY and James, P 2004, 'Application of artificical neural network in complex systems of regional sustainable development' , Chinese Geographical Science, 14 (1) , pp. 1-8.

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    Abstract

    Meeting the challenge of sustainable development requires substantial advances in understanding the interaction of natural and human systems. The dynamics of regional sustainable development could be addressed in the context of complex system thinking. Three features of complex systems are that they are uncertain, non-linear and self-organizing. Modeling regional development requires a consideration of these features. This paper discusses the feasibility of using the artificial neural networt(ANN) to establish an adjustment prediction model for the complex systems of sustainable development (CSSD). Shanghai Municipality was selected as the research area to set up the model, from which reliable prediction data were produced in order to help regional development planning. A new approach, which could help to manage regional sustainable development, is then explored.

    Item Type: Article
    Themes: Subjects / Themes > Q Science > QH Natural history
    Subjects / Themes > Q Science > QH Natural history > QH001 General, inc. conservation, geographical distribution
    Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of Environment and Life Sciences
    Colleges and Schools > College of Science & Technology > School of Environment and Life Sciences > Ecosystems and Environment Research Centre
    Journal or Publication Title: Chinese Geographical Science
    Publisher: Science Press
    Refereed: Yes
    ISSN: 1002-0063
    Depositing User: Users 29196 not found.
    Date Deposited: 27 Oct 2010 15:28
    Last Modified: 20 Aug 2013 17:37
    URI: http://usir.salford.ac.uk/id/eprint/11376

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