Neural modeling classification of western and transition European economies based on energy patterns

Kitikidou, K; Lliadis, L; Spartali, L

dc.contributor.author	Kitikidou, K	en
dc.contributor.author	Lliadis, L	en
dc.contributor.author	Spartali, L	en
dc.date.accessioned	2014-03-01T02:11:30Z
dc.date.available	2014-03-01T02:11:30Z
dc.date.issued	2012	en
dc.identifier.issn	14728915	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29926
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84864433465&partnerID=40&md5=2cbd4334786a7f27945d104691815411	en
dc.subject	Artificial neural networks	en
dc.subject	Atmospheric pollutants	en
dc.subject	Multi-Layer perceptron	en
dc.subject	Radial-Basis function	en
dc.subject	Transition economies	en
dc.subject.other	Atmospheric pollutants	en
dc.subject.other	Economic growths	en
dc.subject.other	Energy patterns	en
dc.subject.other	Energy strategy	en
dc.subject.other	Environmental pollutions	en
dc.subject.other	European economy	en
dc.subject.other	Financial development	en
dc.subject.other	Gross national incomes	en
dc.subject.other	Hungary	en
dc.subject.other	Multi layer perceptron	en
dc.subject.other	Multi-layer perceptrons	en
dc.subject.other	Neural modeling	en
dc.subject.other	Radial basis functions	en
dc.subject.other	Research efforts	en
dc.subject.other	Transition economy	en
dc.subject.other	United kingdom	en
dc.subject.other	Energy management	en
dc.subject.other	Neural networks	en
dc.subject.other	Nitrogen oxides	en
dc.subject.other	Pattern recognition systems	en
dc.subject.other	Sulfur	en
dc.subject.other	Economic analysis	en
dc.title	Neural modeling classification of western and transition European economies based on energy patterns	en
heal.type	journalArticle	en
heal.publicationDate	2012	en
heal.abstract	This paper aims in comparing countries with different energy strategies and also in demonstrating the close connection between environment and financial development in the ex-eastern European economies, during their transition to market ones. Multi-layer perceptrons (MLPs) and radial-basis function (RBF) neural networks have been developed which are trained to classify countries based on their emissions of carbon, sulphur and nitrogen oxides, and on their Gross National Income. Three typical ex-eastern economies (Russia, Poland and Hungary) and three main western economies (United States, France and United Kingdom) were studied in this research effort. Results showed that the linkage between environmental pollution and economic growth has been maintained in the ex-eastern countries. ©2012 CRL Publishing Ltd.	en
heal.journalName	Engineering Intelligent Systems	en
dc.identifier.volume	20	en
dc.identifier.issue	1-2	en
dc.identifier.spage	19	en
dc.identifier.epage	26	en