Usefulness of Artificial Neural Networks for Predicting Financial and Economic Crisis

dc.contributor.author	Chiriţă, Mioara
dc.date.accessioned	2015-11-02T11:53:11Z
dc.date.available	2015-11-02T11:53:11Z
dc.date.issued	2012
dc.identifier.issn	1584-0409
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3555
dc.description	Annals of “Dunarea de Jos” University of Galati Fascicle I. Economics and Applied Informatics	en_US
dc.description.abstract	The objective of the present study is to explore the issue of the forecasting of economic crisis using the neural network. The subject is of great importance in the economy, more so as that most countries affected by crisis, declared at the end of 2010, the economic growth but the crisis paralyzed the financial world over the past three years. Neural network techniques have been frequently applied in order to predict problems like economic forecasting. The results show that creating a model using the neural networks might be a powerful tool and could be applied to prevent economic crises.	en_US
dc.language.iso	en	en_US
dc.publisher	“Dunarea de Jos” University of Galati	en_US
dc.subject	Economic and financial crisis	en_US
dc.subject	Forecasting models	en_US
dc.title	Usefulness of Artificial Neural Networks for Predicting Financial and Economic Crisis	en_US
dc.type	Article	en_US