• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 14 Issue 2
Apr.  2001
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Article Contents
KANG Yin-lao, YANKe-qi. Self Organizing Methods and a Model Studyon the Growth of West China’s GDP[J]. Journal of Southwest Jiaotong University, 2001, 14(2): 206-210.
Citation: KANG Yin-lao, YANKe-qi. Self Organizing Methods and a Model Study on the Growth of West China’s GDP[J]. Journal of Southwest Jiaotong University, 2001, 14(2): 206-210.

Self Organizing Methods and a Model Study on the Growth of West China’s GDP

  • Publish Date: 25 Apr 2001
  • On the basis of the theory of self organizing cybernetics, a new data mining method is proposed by using the principles of artificial neural networks. During modeling, active neurons are generated and eliminated largely, enabling the model to evolve into its optimal complex. Some principles, processes and network structures of self-organizationmethod are discussed. As an example, the economy in thewest China is studied with the model to find the critical factors. Some suggestions about the development of the west China are put forward.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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