期刊名称：Ovidius University Annals: Economic Sciences Series
电子版ISSN：2393-3127
出版年度：2010
卷号：10
期号：1
语种：English
出版社：Ovidius University Press
摘要：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 nonfinancial 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.
关键词：neural modal;enterprises;nonfinancial business economy;index of production;domestic output price index
