| APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF RFGIONAL SUSTAINABLE DEVELOPMENT |
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| 作者姓名： | SHIChun PhilipJAMES GUOZhong-yang |
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| 作者单位： | [1]DepartmentofGeography,SchoolofResourcesandEnvironmentalSciencel／KeyLaboratoryofGeographicalInformationScience,EastChinaNormalUniversity,Shanghai200062,P.R.China [2]TelfordInstituteofEnvironmentalSystems,SchoolofEnvironmentandLifeSciences,UniversityofAlford,SalfordM66PU,UK |
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| 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) |
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| 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.
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| 关 键 词： | 人工神经网络 区域发展 自然 人类 经济学 |
| 收稿时间： | 9 September 2003 |
Application of artificial neural network in complex systems of regional sustainable development |
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| SHIChun PhilipJAMES GUOZhong-yang.APPLICATION OF ARTIFICIAL NEURAL NETWORK IN COMPLEX SYSTEMS OF RFGIONAL SUSTAINABLE DEVELOPMENT[J].Chinese Geographical Science,2004,14(1):1-8. |
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| Authors: | Shi Chun Philip James Guo Zhong-yang |
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| Institution: | (1) Department of Geography, School of Resources and Environmental Science/Key Laboratory of Geographical Information Science, East China Normal University, 200062 Shanghai, P. R. China;(2) Telford Institute of Environmental Systems, School of Environment and Life Sciences, University of Salford, M6 6PU Salford, UK |
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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. |
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| Keywords: | complex systems sustainable development artificial neural network regional development |
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