• DocumentCode
    2645425
  • Title

    Neural network to support unstructured economic decision process

  • Author

    Li, Jingshan ; Wu, Jianzhong ; Zheng, Yingping

  • Author_Institution
    Inst. of Autom., Acad. Sinica, Beijing, China
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    2092
  • Abstract
    The authors use an artificial neural network to support unstructured economic decision processes. Based on the features of the economic decision process and the weaknesses of the error backpropagation algorithm, they derived an improved backpropagation algorithm and applied it in a macroeconomic evaluation decision process, with better results. The improved error backpropagation algorithm overcomes the limitations of the slow convergence rate in the original backpropagation algorithm, to implement reasoning and decision making in unstructured economic decision processes
  • Keywords
    decision support systems; economics; learning systems; neural nets; parallel algorithms; DSS; convergence rate; decision support systems; error backpropagation algorithm; macroeconomic evaluation; neural network; unstructured economic decision process; Artificial intelligence; Automation; Convergence; Decision making; Equations; Error correction; Mathematical model; Mathematics; Multilayer perceptrons; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170696
  • Filename
    170696