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  • 标题:NEURONAL NETWORKS FOR COMPLEX ECONOMIC PROBLEMES
  • 本地全文:下载
  • 作者:Dăscalescu Ana ; Cristina --- ; Nidelea Marinela
  • 期刊名称:Annals of the University of Oradea : Economic Science
  • 印刷版ISSN:1222-569X
  • 电子版ISSN:1582-5450
  • 出版年度:2007
  • 卷号:XVI
  • 期号:02
  • 页码:777-781
  • 出版社:University of Oradea
  • 摘要:The article describes solutions in solving business microperiodicity issue. It also estimates the risk of bancruptcy through neuronal networks appliance. The article contains: . initiatory notes related to neuronal networks (components of biological neuron, structure of artificial neuron, models of artificial neuronal netwoks) . external factors concerning business microperiodicity issue and also appraisal risk of bankruptcy . prevision CAF development . projection CAF satges . final results of CAF reviews . development of bankrupcy global analyse pattern and CAF prevision based on artificial inteligence techiques The two parts of the selected model are presented, and also their conversion, using neuronal networks.
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