The neural model of the European Union (EU-27) annual growth rates
The EU statistics reveal over 19 million active enterprises within the EU-27’s nonfinancial business economy (defined as industry construction, distributive trades and services, and therefore excluding financial and public services) in 2004. About one third (32.5%) were active in the distributive trades sector which were also relatively labor-intensive activities, accounting for almost 25 % of the EU-27’s non-financial business economy workforce in 2004. In this work we develop a study of the impact of the annual growth rates for industry of the European Union countries on the global annual growth rate of the European Union-27 using neural models between 2004-2008. This research work investigates the possibility to apply neural network modeling for simulation and prediction of the EU-27 global index of production and domestic output price index behavior due to the impact of the same indices of different EU-27’s countries. Therefore we will explore this modeling technique to build the neural model of this complex dynamic economy system. The results obtained by using neural models are more accuracy compared to those obtained by regression methods, and the performance of the neural networks is audacious.
Volume (Year): X (2010)
Issue (Month): 1 (May)
|Contact details of provider:|| Web page: http://www.univ-ovidius.ro/facultatea-de-stiinte-economice|
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:ovi:oviste:v:10:y:2010:i:1:p:638-644. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gheorghiu Gabriela)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.