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APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT

SHI Chun Philip JAMES GUO Zhong-yang

SHI Chun, Philip JAMES, GUO Zhong-yang. APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT[J]. 中国地理科学, 2004, 14(1): 1-8.
引用本文: SHI Chun, Philip JAMES, GUO Zhong-yang. APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT[J]. 中国地理科学, 2004, 14(1): 1-8.
SHI Chun, Philip JAMES, GUO Zhong-yang. APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT[J]. Chinese Geographical Science, 2004, 14(1): 1-8.
Citation: SHI Chun, Philip JAMES, GUO Zhong-yang. APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT[J]. Chinese Geographical Science, 2004, 14(1): 1-8.

APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT

基金项目: Under the auspices of the National Natural Science Foundation of China(No.40131020), and British Council's A-cademic Links with China Scheme(SHA/992/304)
详细信息
  • 中图分类号: F119.9

APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT

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出版历程
  • 收稿日期:  2003-09-09
  • 刊出日期:  2004-03-20

APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT

    基金项目:  Under the auspices of the National Natural Science Foundation of China(No.40131020), and British Council's A-cademic Links with China Scheme(SHA/992/304)
  • 中图分类号: F119.9

摘要: 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.

English Abstract

SHI Chun, Philip JAMES, GUO Zhong-yang. APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT[J]. 中国地理科学, 2004, 14(1): 1-8.
引用本文: SHI Chun, Philip JAMES, GUO Zhong-yang. APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT[J]. 中国地理科学, 2004, 14(1): 1-8.
SHI Chun, Philip JAMES, GUO Zhong-yang. APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT[J]. Chinese Geographical Science, 2004, 14(1): 1-8.
Citation: SHI Chun, Philip JAMES, GUO Zhong-yang. APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF REGIONAL SUSTAINABLE DEVELOPMENT[J]. Chinese Geographical Science, 2004, 14(1): 1-8.

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