EconPapers    
Economics at your fingertips  
 

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
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://ejess.revuesonline.com/resnum.jsp?editionId ... .y=6&Submit2=Envoyer Full text (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ris:ejessy:0127

Access Statistics for this article

European Journal of Economic and Social Systems is currently edited by Bernard Paulré and Stefano Lucarelli

More articles in European Journal of Economic and Social Systems from Lavoisier
Bibliographic data for series maintained by Stefano Lucarelli ( this e-mail address is bad, please contact ).

 
Page updated 2020-11-03
Handle: RePEc:ris:ejessy:0127