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Establishment in artificial neural network of urban sustainable development adjustment prediction model

  • Zhong Yang Guo*
  • , Chun Shi
  • , Li Fan Pan
  • , Yan Lu
  • *Corresponding author for this work
  • East China Normal University

Research output: Contribution to journalArticlepeer-review

Abstract

On the basis of the evaluation database of Shanghai sustainable development from 1990 to 1999, six main influential factors of regional sustainable development were selected, which including gross domestic product, per capita water consumption, natural growth rate, ocean water quality, per 10 thousand yuan product industrial waste water discharge and per capita public green areas. Thus Shanghai sustainable development adjustment prediction model using artificial neural network is established, from which good results were obtained.

Original languageEnglish
Pages (from-to)29-32
Number of pages4
JournalJishou Daxue Xuebao/Journal of Jishou University
Volume22
Issue number4
StatePublished - Dec 2001

Keywords

  • Artificial neural network
  • Prediction model
  • Sustainable development

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