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Neural networks. Editorial

Author

Listed:
  • Gaubert, Patrice

    (Équipe de Recherche sur l'Utilisation des Données Individuelles en lien avec la Théorie Économique (ERUDITE) Université Paris-Est)

Abstract

A neural network is a “connectionist” computational system. The computational systems we write are procedural; a program starts at the first line of code, executes it, and goes on to the next, following instructions in a linear fashion. A true neural network does not follow a linear path. Rather, information is processed collectively, in parallel throughout a network of nodes (the nodes, in this case, being neurons).The practical applicability and limitations of the main neural paradigms is revised by studying different main questions: when can a particular problem be approached by means of Artificial Neural Networks? Which is the most suitable neural paradigm for a particular problem? How must the available information be presented to the implemented network?

Suggested Citation

  • Gaubert, Patrice, 2004. "Neural networks. Editorial," European Journal of Economic and Social Systems, Lavoisier, vol. 17(1-2), pages 7-9.
    • Handle: RePEc:ris:ejessy:0127
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    More about this item

    Keywords

    Neural Network; Pseudo Panels; Financial Data;
    All these keywords.

    JEL classification:

    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

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