This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Reti Neurali Artificiali: Teoria ed Applicazioni Finanziarie

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Crescenzio Gallo ()

Additional information is available for the following registered author(s):

Abstract

Le Reti Neurali Artificiali sono diventate uno strumento estremamente effcace nell'analisi di situazioni non ''predicibili'' analiticamente, e si prestano in maniera estremamente efficace alla modellizzazione di problemi di varia natura. In questo lavoro viene fatta una rassegna sulle origini e lo stato dell'arte delle Reti Neurali Artificiali, con una esposizione sintetica delle possibili applicazioni oggi piu' promettenti in ambito finanziario.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.dsems.unifg.it/q282007.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Paper provided by Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia in its series Quaderni DSEMS with number 28-2007.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 47 pages
Date of creation: Dec 2007
Date of revision:
Handle: RePEc:ufg:qdsems:28-2007

Contact details of provider:
Postal: Largo Papa Giovanni Paolo II, 1 -71100- Foggia (I)
Phone: +390881753730
Fax: +390881775616
Web page: http://www.dsems.unifg.it
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Luca Grilli).

Related research
Keywords: reti neurali artificiali; modellizzazione.;

Find related papers by JEL classification:
C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics

This paper has been announced in the following NEP Reports:

Statistics
Access and download statistics

Did you know? Want to help out with this project? Look for volunteer opportunities.

This page was last updated on 2009-11-12.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.