Neural networks. Editorial
Patrice Gaubert
European Journal of Economic and Social Systems, 2004, vol. 17, issue 1-2, 7-9
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?
Keywords: Neural Network; Pseudo Panels; Financial Data (search for similar items in EconPapers)
JEL-codes: C45 (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:ris:ejessy:0127
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