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文章基本信息

  • 标题:A Review Study On Urban Planning & Artificial Intelligence
  • 本地全文:下载
  • 作者:Kamal Jain ; Payal
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2011
  • 卷号:1
  • 期号:5
  • 页码:101-104
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:AI Techniques are best techniques for dealing with complex and dynamic problems of urban studies. They give a better way for analysis of urban growth. Major objective of this study is to review recent developments in the field of urban planning & AI. The purpose of this article is to explore how artificial echniques have been applied for urban dynamic planning processes. For this, the authors have reviewed the application of AI techniques in urban land dynamics. This paper discusses how cellular Automata, Fuzzy Logic, Neural Networks have been applied for Urban Planning due to the unpredictability, instability, uncomputability, irreducibility and emergence that exists in the process of urban evolution. The authors conclude that AI based approaches offer possible solutions for urban dynamics.
  • 关键词:Cellular Automata; Fuzzy Logic; Neural;Networks.
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